{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./ctpn/ckpt\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn/ctpn.py:17: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/VGGnet_test.py:17: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
      "\n",
      "Tensor(\"Placeholder:0\", shape=(?, ?, ?, 3), dtype=float32)\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/network.py:172: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/network.py:87: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/network.py:198: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
      "\n",
      "Tensor(\"conv5_3/conv5_3:0\", shape=(?, ?, ?, 512), dtype=float32)\n",
      "Tensor(\"rpn_conv/3x3/rpn_conv/3x3:0\", shape=(?, ?, ?, 512), dtype=float32)\n",
      "WARNING:tensorflow:\n",
      "The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
      "For more information, please see:\n",
      "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
      "  * https://github.com/tensorflow/addons\n",
      "  * https://github.com/tensorflow/io (for I/O related ops)\n",
      "If you depend on functionality not listed there, please file an issue.\n",
      "\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/network.py:101: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/network.py:105: bidirectional_dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `keras.layers.Bidirectional(keras.layers.RNN(cell))`, which is equivalent to this API\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/rnn.py:464: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `keras.layers.RNN(cell)`, which is equivalent to this API\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/rnn_cell_impl.py:958: Layer.add_variable (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `layer.add_weight` method instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/rnn_cell_impl.py:962: calling Zeros.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "Tensor(\"lstm_o/Reshape_2:0\", shape=(?, ?, ?, 512), dtype=float32)\n",
      "Tensor(\"lstm_o/Reshape_2:0\", shape=(?, ?, ?, 512), dtype=float32)\n",
      "Tensor(\"rpn_cls_score/Reshape_1:0\", shape=(?, ?, ?, 20), dtype=float32)\n",
      "Tensor(\"rpn_cls_prob:0\", shape=(?, ?, ?, ?), dtype=float32)\n",
      "Tensor(\"Reshape_2:0\", shape=(?, ?, ?, 20), dtype=float32)\n",
      "Tensor(\"rpn_bbox_pred/Reshape_1:0\", shape=(?, ?, ?, 40), dtype=float32)\n",
      "Tensor(\"Placeholder_1:0\", shape=(?, 3), dtype=float32)\n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/lib/networks/network.py:223: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "tf.py_func is deprecated in TF V2. Instead, there are two\n",
      "    options available in V2.\n",
      "    - tf.py_function takes a python function which manipulates tf eager\n",
      "    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to\n",
      "    an ndarray (just call tensor.numpy()) but having access to eager tensors\n",
      "    means `tf.py_function`s can use accelerators such as GPUs as well as\n",
      "    being differentiable using a gradient tape.\n",
      "    - tf.numpy_function maintains the semantics of the deprecated tf.py_func\n",
      "    (it is not differentiable, and manipulates numpy arrays). It drops the\n",
      "    stateful argument making all functions stateful.\n",
      "    \n",
      "WARNING:tensorflow:From /opt/CHINESE-OCR-API/ctpn/ctpn.py:20: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.\n",
      "\n",
      "INFO:tensorflow:Restoring parameters from ./ctpn/ckpt/VGGnet_fast_rcnn_iter_50000.ckpt\n"
     ]
    }
   ],
   "source": [
    "from ctpn.ctpn import CTPN_model\n",
    "from setting import ckpt_path\n",
    "print(ckpt_path)\n",
    "ctpn_model = CTPN_model(ckpt_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.174528121948242\n"
     ]
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import cv2\n",
    "import time\n",
    "from IPython.display import display\n",
    "\n",
    "\n",
    "img = cv2.imread('test/61ys.jpg',1)\n",
    "start = time.time()\n",
    "\n",
    "text_recs = ctpn_model.predict(img)\n",
    "print(time.time()-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=443x26 at 0x7FDA2C186B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -69.2633,  -71.0773, -112.2384,  ..., -131.9213, -106.1546,\n",
      "          -109.6250]],\n",
      "\n",
      "        [[  11.3750,  -21.0640,  -50.8037,  ...,  -50.7030,  -83.7179,\n",
      "           -83.7922]],\n",
      "\n",
      "        [[   6.5937,  -31.1542,  -65.2691,  ...,  -84.9830,  -78.7541,\n",
      "           -91.2329]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   2.7887,  -21.0078,  -60.4625,  ...,  -74.2270,  -66.5632,\n",
      "           -66.8428]],\n",
      "\n",
      "        [[  18.6197,  -12.2684,  -50.6524,  ...,  -65.2416,  -66.5809,\n",
      "           -54.5033]],\n",
      "\n",
      "        [[   5.3533,   -2.4125,  -30.2382,  ...,  -48.7492,  -52.6363,\n",
      "           -34.9340]]], grad_fn=<ViewBackward>)\n",
      "\\机动车驾驶培训教练员从业资格考试申请表-样表-\n",
      "\\机动车驾驶培训教练员从业资格考试申请表-样表-\n",
      "0.33190393447875977\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=257x19 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -61.8095,  -68.0268,  -96.5650,  ..., -130.8629, -102.0102,\n",
      "          -109.1437]],\n",
      "\n",
      "        [[  24.7002,   -2.5402,  -29.5345,  ...,  -41.0985,  -69.3867,\n",
      "           -70.3674]],\n",
      "\n",
      "        [[   0.5925,  -34.5225,  -53.5422,  ...,  -74.7321,  -70.7381,\n",
      "           -85.8887]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  30.5140,   -0.9811,  -12.9399,  ...,  -31.1257,  -39.8120,\n",
      "           -29.4934]],\n",
      "\n",
      "        [[  40.0264,   14.7286,   -5.8050,  ...,  -16.6450,  -19.4502,\n",
      "           -10.6771]],\n",
      "\n",
      "        [[  13.6678,  -15.2305,  -39.6286,  ...,  -50.1121,  -53.1563,\n",
      "           -41.2244]]], grad_fn=<ViewBackward>)\n",
      "-张XX-|性别-男-学历-技术职称-\n",
      "张XX-|性别-男-学历-技术职称-\n",
      "0.2565793991088867\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -40.1480,  -37.9128,  -64.1023,  ...,  -48.9256,  -58.4048,\n",
      "           -41.8906]],\n",
      "\n",
      "        [[  10.9127,  -29.4118,  -67.3772,  ...,  -62.5743, -110.8935,\n",
      "           -99.9679]],\n",
      "\n",
      "        [[ -13.4175,  -48.5793,  -75.2382,  ...,  -70.5939, -100.2402,\n",
      "           -95.8838]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  17.9601,   10.8279,  -21.6165,  ...,   -0.3112,  -22.4916,\n",
      "           -14.6649]],\n",
      "\n",
      "        [[  66.9970,   28.3403,   -8.8313,  ...,    5.2679,  -23.8156,\n",
      "           -15.3486]],\n",
      "\n",
      "        [[  36.4134,    5.6653,  -20.9227,  ...,  -13.2175,  -27.6965,\n",
      "           -21.5689]]], grad_fn=<ViewBackward>)\n",
      "非名\n",
      "非名\n",
      "0.05748724937438965\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=41x22 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -73.1151,  -74.4001, -104.9721,  ..., -130.3830, -102.1001,\n",
      "          -107.5868]],\n",
      "\n",
      "        [[  37.3236,   11.7125,  -16.3649,  ...,  -28.0000,  -50.2355,\n",
      "           -54.2185]],\n",
      "\n",
      "        [[   0.4264,  -31.1312,  -47.7680,  ...,  -71.7549,  -64.0875,\n",
      "           -79.6343]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  33.3928,   -3.7225,  -28.3698,  ...,  -34.1203,   -9.0659,\n",
      "           -42.4103]],\n",
      "\n",
      "        [[  39.6383,   35.4074,   35.8920,  ...,   39.3431,   51.2205,\n",
      "            10.6298]],\n",
      "\n",
      "        [[  18.0132,  -12.4491,  -13.9209,  ...,    4.0911,   -1.3902,\n",
      "           -24.7439]]], grad_fn=<ViewBackward>)\n",
      "-大专\n",
      "大专\n",
      "0.04827070236206055\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=21x18 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -64.5854,  -68.4181,  -98.7722,  ..., -118.5909,  -94.3186,\n",
      "          -100.9887]],\n",
      "\n",
      "        [[  21.3152,   -6.9974,  -43.9389,  ...,  -56.0624,  -79.7207,\n",
      "           -83.0557]],\n",
      "\n",
      "        [[  -2.4686,  -40.7380,  -67.4380,  ...,  -88.8720,  -79.0485,\n",
      "           -96.8639]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  17.7195,  -28.1321, -104.6240,  ..., -116.1252, -115.6993,\n",
      "           -77.4587]],\n",
      "\n",
      "        [[  13.7505,  -33.2736, -116.8434,  ..., -109.2354, -110.8749,\n",
      "           -69.3893]],\n",
      "\n",
      "        [[ -23.6500,  -31.6017,  -78.2198,  ...,  -69.6730,  -75.1721,\n",
      "           -41.9945]]], grad_fn=<ViewBackward>)\n",
      "-照\n",
      "照\n",
      "0.05665087699890137\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=371x17 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -71.1596,  -79.1629, -107.3920,  ..., -124.8440, -104.2792,\n",
      "          -102.9046]],\n",
      "\n",
      "        [[   0.9963,  -27.6685,  -51.9909,  ...,  -61.2102,  -81.8808,\n",
      "           -83.7017]],\n",
      "\n",
      "        [[   1.9853,  -35.2699,  -59.2013,  ...,  -78.1944,  -73.5183,\n",
      "           -84.9312]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   6.1969,  -23.1241,  -49.9107,  ...,  -73.6919,  -45.5235,\n",
      "           -40.8395]],\n",
      "\n",
      "        [[  -3.9776,  -25.5102,  -63.5854,  ...,  -82.5202,  -71.2009,\n",
      "           -64.3171]],\n",
      "\n",
      "        [[   2.8187,  -21.1709,  -49.8979,  ...,  -67.5279,  -49.5883,\n",
      "           -43.1040]]], grad_fn=<ViewBackward>)\n",
      "-住址XX市XX区XX路XX弄XX号XX室-电话-58xxxxxx\n",
      "住址XX市XX区XX路XX弄XX号XX室-电话-58xxxxxx\n",
      "0.3657400608062744\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=175x16 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-121.7054, -122.5801, -159.5970,  ..., -152.1061, -167.1151,\n",
      "          -138.5798]],\n",
      "\n",
      "        [[ -11.5837,  -43.1620, -100.2343,  ...,  -95.6094, -138.5809,\n",
      "          -111.7377]],\n",
      "\n",
      "        [[ -19.1446,  -58.2065, -115.1630,  ..., -113.5905, -135.4629,\n",
      "          -115.7139]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -20.0996,  -45.3503,  -71.5122,  ...,  -90.4594,  -72.0778,\n",
      "           -73.9070]],\n",
      "\n",
      "        [[  26.9917,   -8.4787,  -20.9088,  ...,  -42.4131,  -23.9312,\n",
      "           -32.7555]],\n",
      "\n",
      "        [[ -27.5429,  -55.5500,  -65.9625,  ...,  -86.0266,  -75.9954,\n",
      "           -78.9572]]], grad_fn=<ViewBackward>)\n",
      "工作单位，XXXXXXXXXX公司\n",
      "工作单位，XXXXXXXXXX公司\n",
      "0.18636608123779297\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=113x15 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -89.7585,  -84.8784, -127.6335,  ..., -120.5350, -130.9301,\n",
      "          -116.7460]],\n",
      "\n",
      "        [[  14.8940,  -22.9440,  -62.2534,  ...,  -54.7265, -101.8540,\n",
      "           -93.8587]],\n",
      "\n",
      "        [[  -4.3542,  -40.0364,  -78.4153,  ...,  -82.8371,  -95.3086,\n",
      "           -92.4941]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   0.5561,  -20.5293,  -50.7166,  ...,  -71.4536,  -59.1601,\n",
      "           -54.3286]],\n",
      "\n",
      "        [[  15.6561,   -8.1351,  -32.5978,  ...,  -57.4951,  -37.1891,\n",
      "           -37.1035]],\n",
      "\n",
      "        [[ -10.3591,  -35.0890,  -61.5411,  ...,  -88.6492,  -70.1302,\n",
      "           -56.8921]]], grad_fn=<ViewBackward>)\n",
      "-电话-65XxxXxx\n",
      "电话-65XxxXxx\n",
      "0.14228081703186035\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x20 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-21.2604, -18.0791, -23.0879,  ..., -28.3223, -25.6192, -38.9790]],\n",
      "\n",
      "        [[ 33.1914,  -4.2000, -31.2097,  ..., -36.5277, -75.6672, -88.8148]],\n",
      "\n",
      "        [[ 18.0319, -19.0956, -44.9159,  ..., -57.5731, -72.4266, -84.8302]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 23.0750, -10.2532, -28.5699,  ..., -22.2912, -19.2895, -33.6537]],\n",
      "\n",
      "        [[ 32.1947,   5.1451, -21.0652,  ..., -36.2353, -27.2115, -28.8907]],\n",
      "\n",
      "        [[  7.9576, -23.5408, -43.8588,  ..., -66.1267, -54.8295, -48.6025]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "匀份证号\n",
      "匀份证号\n",
      "0.07731223106384277\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x20 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-52.9373, -57.8304, -87.7600,  ..., -93.7316, -79.1738, -86.1057]],\n",
      "\n",
      "        [[ 10.3819, -17.5130, -31.6896,  ..., -39.5403, -61.0126, -73.7074]],\n",
      "\n",
      "        [[  2.5400, -35.1753, -41.5865,  ..., -63.0291, -56.1576, -79.9702]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  5.1134,  -4.1086,  -6.0070,  ...,   4.9372, -33.2122,  -0.6443]],\n",
      "\n",
      "        [[ 29.9589, -10.3317, -20.0603,  ...,  -7.0166, -44.7018, -17.9707]],\n",
      "\n",
      "        [[ -8.3569, -41.2582, -51.1161,  ..., -46.7538, -70.6039, -56.4681]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "培训单位\n",
      "培训单位\n",
      "0.07740473747253418\n"
     ]
    },
    {
     "data": {
      "image/png": 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IbhkAgFNdlFAQwEFmWulBH3BGZRGAIbFdHAW3Dxxqu2SURKSOIAhuSaYcRREIs2VJBhA5CoIAAEAp0209FAhRxiUEmVuSW9YRBUHyAuXEdrnSiWFAQDKYFZDSXQhmos2XGeYgEQAXZ5IoAaCm6/5Ammaafp8fASmlssvFOAPOPS4ZAAxd9QcCAIKqGx5/CAG8AgUkDLxcEByH+dySCI6u665AhmNzgZtBnxdQ4Iw7nEtuNwegjLolFyK3DTMUCKQUJZSe/n/axjOA+bPq5gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=123x13 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -60.7565,  -63.4075, -102.6716,  ..., -108.8096, -101.5503,\n",
      "           -91.8897]],\n",
      "\n",
      "        [[  12.7041,  -11.8607,  -49.5755,  ...,  -63.4930,  -76.6665,\n",
      "           -82.8174]],\n",
      "\n",
      "        [[   4.6609,  -30.0635,  -54.9595,  ...,  -72.5272,  -59.8092,\n",
      "           -77.5615]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  26.5709,   -8.8635,  -39.1157,  ...,  -46.5343,  -34.6891,\n",
      "           -21.3727]],\n",
      "\n",
      "        [[  21.9171,   -2.7335,  -44.6814,  ...,  -53.7278,  -49.3603,\n",
      "           -25.0671]],\n",
      "\n",
      "        [[ -12.3963,  -24.7804,  -61.7025,  ...,  -70.4663,  -61.1247,\n",
      "           -40.9767]]], grad_fn=<ViewBackward>)\n",
      "-310223XXXXXXXXXXXX\n",
      "310223XXXXXXXXXXXX\n",
      "0.1678636074066162\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x13 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-25.1445, -23.1872, -55.8257,  ..., -66.0550, -43.7275, -44.5604]],\n",
      "\n",
      "        [[ 35.5122,   3.0735, -49.8997,  ..., -47.8547, -81.0347, -76.8181]],\n",
      "\n",
      "        [[ 10.1607, -30.0339, -64.3705,  ..., -78.3026, -76.9470, -85.9234]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[-20.2040, -48.0519, -75.6027,  ..., -92.1626, -81.1904, -77.7002]],\n",
      "\n",
      "        [[ 27.8277,  -5.7173, -27.4319,  ..., -49.3701, -37.1801, -38.3150]],\n",
      "\n",
      "        [[-41.3845, -62.5980, -77.7776,  ..., -99.1861, -85.4775, -87.3890]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "XXXXXXXXXX公司\n",
      "XXXXXXXXXX公司\n",
      "0.14157557487487793\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x18 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -77.4637,  -73.0767, -103.2877,  ...,  -90.4413,  -91.6627,\n",
      "           -85.5194]],\n",
      "\n",
      "        [[  -1.0112,  -37.3467,  -87.8698,  ...,  -70.6281, -112.9682,\n",
      "          -108.7464]],\n",
      "\n",
      "        [[  13.8431,  -26.3718,  -63.7975,  ...,  -61.7214,  -68.0512,\n",
      "           -73.3189]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  16.7983,   -8.1821,  -44.5281,  ...,  -45.9421,  -61.5098,\n",
      "           -32.2253]],\n",
      "\n",
      "        [[  49.8579,   27.5624,    1.3819,  ...,   -1.4084,    2.8684,\n",
      "             8.3140]],\n",
      "\n",
      "        [[   9.7134,  -16.8155,  -44.0636,  ...,  -62.0177,  -52.3870,\n",
      "           -41.4079]]], grad_fn=<ViewBackward>)\n",
      "-驶证准\n",
      "驶证准\n",
      "0.07891011238098145\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x15 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -90.1496,  -96.2602, -128.9850,  ..., -155.5232, -129.3645,\n",
      "          -134.5520]],\n",
      "\n",
      "        [[  16.1964,  -17.4887,  -51.2713,  ...,  -60.1884,  -82.3211,\n",
      "           -88.9285]],\n",
      "\n",
      "        [[  -8.6708,  -47.1483,  -78.0095,  ..., -100.7576,  -99.2538,\n",
      "          -113.7607]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   0.2288,  -35.9141,  -76.8276,  ...,  -61.1325,  -96.9333,\n",
      "           -59.8224]],\n",
      "\n",
      "        [[  26.7668,  -14.3874,  -45.4103,  ...,  -20.8146,  -64.4769,\n",
      "           -24.3649]],\n",
      "\n",
      "        [[   3.5210,    0.9699,   -5.8969,  ...,   27.8849,  -14.6206,\n",
      "             6.0783]]], grad_fn=<ViewBackward>)\n",
      "-20XX年X月X日\n",
      "20XX年X月X日\n",
      "0.1372818946838379\n"
     ]
    },
    {
     "data": {
      "image/png": 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i8W+H54MAoGfCOGP81C1gKL5WQQAk8NMGzwLxAQ6IxVtOxV9cMALGIRAICE5FI7CTz8UB8r9g7QdC0VExkU9/XCn2jR8ngB8QPx5rRXDOix9UfkynPzi+t5j+D0EIIYT4vs8Y+593/3/FfwGVvBPvyXnj3gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x19 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -76.9099,  -81.0547, -110.9192,  ..., -131.6485, -109.1360,\n",
      "          -110.7047]],\n",
      "\n",
      "        [[  19.8987,   -9.3062,  -42.3738,  ...,  -53.9064,  -80.6031,\n",
      "           -79.4587]],\n",
      "\n",
      "        [[  -9.6706,  -47.0298,  -72.2805,  ...,  -95.8127,  -86.8407,\n",
      "          -101.9654]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  26.4922,  -12.4595,  -33.7081,  ...,  -45.1596,  -42.2688,\n",
      "           -39.8172]],\n",
      "\n",
      "        [[  39.2477,   17.7269,  -15.2854,  ...,  -29.6949,  -28.3474,\n",
      "           -25.7477]],\n",
      "\n",
      "        [[   6.2777,  -16.6774,  -40.0027,  ...,  -57.8016,  -54.2945,\n",
      "           -45.0323]]], grad_fn=<ViewBackward>)\n",
      "-初领驾驶证日期\n",
      "初领驾驶证日期\n",
      "0.17031407356262207\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=21x12 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-7.6619e+01, -7.9133e+01, -1.0859e+02,  ..., -1.3950e+02,\n",
      "          -1.2555e+02, -1.1824e+02]],\n",
      "\n",
      "        [[ 2.1880e+01, -1.0105e-01, -1.4322e+01,  ..., -3.1058e+01,\n",
      "          -5.4028e+01, -6.1852e+01]],\n",
      "\n",
      "        [[ 1.4336e+00, -2.8979e+01, -4.1946e+01,  ..., -6.8995e+01,\n",
      "          -6.2505e+01, -8.1103e+01]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[-2.4895e+01, -3.7067e+01, -5.4362e+01,  ..., -9.4678e+01,\n",
      "          -8.6181e+01, -6.7286e+01]],\n",
      "\n",
      "        [[ 2.2313e+01,  1.1860e+00, -2.2747e+01,  ..., -5.1020e+01,\n",
      "          -4.4950e+01, -2.4877e+01]],\n",
      "\n",
      "        [[-4.7793e-01, -3.2194e+01, -5.8352e+01,  ..., -8.5650e+01,\n",
      "          -7.2369e+01, -5.6069e+01]]], grad_fn=<ViewBackward>)\n",
      ".A1\n",
      ".A1\n",
      "0.048375844955444336\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=52x19 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -76.0732,  -79.9663, -112.0186,  ..., -132.9444, -111.2103,\n",
      "          -111.9412]],\n",
      "\n",
      "        [[  32.0340,    3.4034,  -30.3496,  ...,  -42.2883,  -69.5675,\n",
      "           -70.8195]],\n",
      "\n",
      "        [[  -0.5366,  -35.5583,  -55.5072,  ...,  -78.9025,  -74.0297,\n",
      "           -87.8282]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  24.3882,   10.3506,  -26.0600,  ...,  -17.7528,   -8.1744,\n",
      "            11.2535]],\n",
      "\n",
      "        [[  36.6419,   -1.2556,  -39.0811,  ...,  -25.6856,  -28.5032,\n",
      "            -9.3193]],\n",
      "\n",
      "        [[   3.3785,  -32.4835,  -65.0083,  ...,  -47.9312,  -65.9638,\n",
      "           -50.8645]]], grad_fn=<ViewBackward>)\n",
      "-驾车型\n",
      "驾车型\n",
      "0.1307544708251953\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=258x27 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -45.0354,  -43.3646,  -58.5033,  ...,  -40.0256,  -61.4168,\n",
      "           -59.4083]],\n",
      "\n",
      "        [[   3.6610,  -25.7425,  -63.7981,  ...,  -43.2539,  -99.0478,\n",
      "           -90.9863]],\n",
      "\n",
      "        [[   2.2582,  -26.8945,  -60.3618,  ...,  -51.6197,  -83.9596,\n",
      "           -87.2620]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -39.3489,  -77.2529, -115.8483,  ..., -105.8923, -137.6494,\n",
      "          -103.1623]],\n",
      "\n",
      "        [[  -9.8274,  -49.8634,  -78.1412,  ...,  -58.3316,  -93.9189,\n",
      "           -59.9881]],\n",
      "\n",
      "        [[ -36.4360,  -41.7053,  -50.3418,  ...,  -20.5900,  -61.7144,\n",
      "           -41.3780]]], grad_fn=<ViewBackward>)\n",
      "伊然。-，理论赞练员口驾驶探作数练员口\n",
      "伊然。-，理论赞练员口驾驶探作数练员口\n",
      "0.2045300006866455\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=164x18 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -64.0045,  -64.4281, -104.0119,  ..., -105.3092, -108.4441,\n",
      "          -103.0466]],\n",
      "\n",
      "        [[  21.1182,  -17.4427,  -69.8793,  ...,  -57.1962, -108.6965,\n",
      "          -102.8090]],\n",
      "\n",
      "        [[  13.4254,  -37.2297,  -63.5446,  ...,  -74.4382,  -93.9538,\n",
      "           -83.7036]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   8.0574,  -23.6048,  -57.6414,  ...,  -59.8451,  -63.2286,\n",
      "           -67.6512]],\n",
      "\n",
      "        [[  25.7164,   -0.8198,  -21.3615,  ...,  -36.8155,  -23.3716,\n",
      "           -17.0441]],\n",
      "\n",
      "        [[   4.6534,   -5.1387,  -11.4511,  ...,  -35.9794,  -24.1997,\n",
      "           -13.5909]]], grad_fn=<ViewBackward>)\n",
      "-根据实际申请内容进行勾选，\n",
      "根据实际申请内容进行勾选，\n",
      "0.15409588813781738\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=43x17 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -62.8987,  -68.1126, -109.9453,  ..., -140.8965, -101.9897,\n",
      "          -117.2581]],\n",
      "\n",
      "        [[  17.7394,   -8.8862,  -32.1123,  ...,  -43.4413,  -56.5491,\n",
      "           -74.9457]],\n",
      "\n",
      "        [[   5.4838,  -34.5486,  -48.3717,  ...,  -72.3562,  -64.8083,\n",
      "           -87.1017]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -12.0028,  -32.1020,  -53.8917,  ...,  -73.7847,  -58.4348,\n",
      "           -60.0442]],\n",
      "\n",
      "        [[  30.6245,    0.3222,  -12.7796,  ...,  -40.2679,  -21.7078,\n",
      "           -28.7825]],\n",
      "\n",
      "        [[ -23.3550,  -48.4289,  -59.5909,  ...,  -80.8414,  -69.4283,\n",
      "           -71.7262]]], grad_fn=<ViewBackward>)\n",
      "类别\n",
      "类别\n",
      "0.06385397911071777\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=525x16 at 0x7FDA2C033AC8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -31.8278,  -51.8023,  -60.4129,  ...,  -57.9932,  -63.1056,\n",
      "           -68.8816]],\n",
      "\n",
      "        [[  13.8004,  -21.2581,  -57.3728,  ...,  -55.8106,  -97.7302,\n",
      "          -101.5832]],\n",
      "\n",
      "        [[  10.2460,  -32.9559,  -71.7873,  ...,  -86.9849,  -91.5119,\n",
      "           -93.9536]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -26.2478,  -63.6083,  -96.2881,  ..., -115.5142, -113.4556,\n",
      "           -97.7379]],\n",
      "\n",
      "        [[ -10.1473,  -58.1239,  -81.8382,  ...,  -96.9582,  -99.3966,\n",
      "           -80.1715]],\n",
      "\n",
      "        [[ -46.1379,  -56.5932,  -75.1238,  ...,  -77.6597,  -85.4951,\n",
      "           -77.5079]]], grad_fn=<ViewBackward>)\n",
      "申申诸准敬A1-A2-A3-B1-B2-C1-C2-C3-c4-C5-D-E-F\n",
      "申申诸准敬A1-A2-A3-B1-B2-C1-C2-C3-c4-C5-D-E-F\n",
      "0.5029807090759277\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=350x18 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -86.1253,  -92.0221, -114.9347,  ..., -132.9219, -114.3367,\n",
      "          -124.4259]],\n",
      "\n",
      "        [[  10.0067,  -17.4587,  -45.8797,  ...,  -58.2619,  -80.1248,\n",
      "           -87.5276]],\n",
      "\n",
      "        [[ -14.1241,  -50.3190,  -77.2179,  ..., -100.5716,  -97.2545,\n",
      "          -115.5201]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   0.7875,  -24.8069,  -62.7245,  ...,  -83.2895,  -78.4409,\n",
      "           -82.1518]],\n",
      "\n",
      "        [[  -8.8775,  -40.0129,  -64.4630,  ...,  -98.7041,  -81.4919,\n",
      "           -79.0061]],\n",
      "\n",
      "        [[  -1.4481,   -1.9863,  -22.6000,  ...,  -50.2037,  -39.2415,\n",
      "           -32.5863]]], grad_fn=<ViewBackward>)\n",
      "-车型--M--N-P-口-根据实际申请内容进行勾选》\n",
      "车型--M--N-P-口-根据实际申请内容进行勾选》\n",
      "0.337813138961792\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=236x21 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -69.6061,  -67.8833, -101.9292,  ..., -116.5270,  -99.8385,\n",
      "          -100.8232]],\n",
      "\n",
      "        [[  32.3817,    9.6784,  -11.7554,  ...,  -25.4785,  -46.8866,\n",
      "           -56.1823]],\n",
      "\n",
      "        [[   1.7279,  -34.5909,  -46.1219,  ...,  -70.7423,  -60.4053,\n",
      "           -83.5158]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -41.5474,  -91.4322, -137.4880,  ..., -120.2156, -150.6534,\n",
      "          -101.4536]],\n",
      "\n",
      "        [[ -17.3920,  -65.8965,  -87.8554,  ...,  -63.2353,  -99.6162,\n",
      "           -58.0840]],\n",
      "\n",
      "        [[ -37.3311,  -50.2500,  -66.6004,  ...,  -40.8895,  -79.4474,\n",
      "           -44.0321]]], grad_fn=<ViewBackward>)\n",
      "-身份证明复印件-学历证明原件口\n",
      "身份证明复印件-学历证明原件口\n",
      "0.20937538146972656\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x20 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-105.7806, -111.5685, -121.0626,  ..., -143.0635, -142.4639,\n",
      "          -142.2522]],\n",
      "\n",
      "        [[  19.1831,  -11.7738,  -41.4605,  ...,  -56.2592,  -86.5968,\n",
      "           -92.7906]],\n",
      "\n",
      "        [[   5.6510,  -29.5243,  -48.4572,  ...,  -73.9681,  -87.5379,\n",
      "           -91.8071]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  35.0755,    9.5657,  -21.4467,  ...,   -1.5564,  -21.1815,\n",
      "            -3.0618]],\n",
      "\n",
      "        [[  19.7832,   -2.2741,  -38.9963,  ...,  -41.3128,  -41.5375,\n",
      "           -36.7253]],\n",
      "\n",
      "        [[   9.1178,  -19.2642,  -46.2387,  ...,  -61.0923,  -52.2554,\n",
      "           -49.4481]]], grad_fn=<ViewBackward>)\n",
      "-身份证明原件-\n",
      "身份证明原件-\n",
      "0.1257340908050537\n"
     ]
    },
    {
     "data": {
      "image/png": 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YUFJWBgCGYYiyfNzQoeFoVFIUDpBOp3VdF0XxyKFDJSUlhBBV1znnW7duHTp0qE+wWCzmOI5t25qm+QrIt/Pr169/+89vFkX1884bi4gvPP+nFR+sOvvscwQiSURwXVdSlM2bNsVisWHDhgaCmud5AwcOrCoK5lJJdB2iCACEEFFWJIGIET1Qt2t3S6o9Hg7FwkEQCHgsnc+Fu1SD44KqygDPLXjx+y++eODe3774wdKPl7+3t75u5ZKllZU1Vd16RcpqPAna0inLNECWAACICIAgCQAIAgmGw6ZtO56nqDJnTJQERVR+GdOiKDLGjilcy7KyeWveo0+u+WjlheeecvnUqXKobPwF58UvOatPv94AACCnLE8WRFCFpoYD3/5Y73DR84wFzz27b09da3Nzp8ry5ubmW265ZdiJI03XkRSlqaWlplPnQ3t2g2lIggCMIZD2ZHLosGEKALreD9u3bD504OMPV2R31G1d/8MJ4845fdTojGlcPOVyLRY9f+JECkLayEeD4b179w4cMCCgaq5tq7JMbbsoFgMAl1KPs6J4EQfYvHnzxys/USRl8tRLXct59ZWFf/vs07POPjPZnpAlCRilriepmsdBVjVJknbU7jr77LOnjjg+B/Dd2s/6EAXQBY7ReOQPzz+1c9u2qqrOrz33/LtvLzo47ryVi5cUlZXq1Z2KvC6CKnqcgSBIigIIwHmHCeSgyrKqqpbj+DkJQfifql0EACDk7/EEX6YQDhxomvfIo7vq96z8aOWtc2aDIJ562imzr58QiscBJACVOo6ia4RA7e7Dhw815vIZo5B59913m47sbW4+OHTogLr6vTfPvqdz1x7RYJgQ0tzaGg+HdV0nBF3HQc6JJCWTyf79+wMAIm7euv1Aw5EP3nt/69aNX3/7+agxp5wyerTnOLfePKtXt97nj7+AgeRQqovij5s3DT9xhBYOAlh6uAgJBwEkEQgBAgRB6FLR5ek/LHjLXJpqS94663qXWi+89PKqj1f/atR4o2DatsNsS1RVRdMc162pqcnlcpZlde3aVe7eo7S42MrnAtEwAALHQCBQXl6u6/quXbscx/EjqgAQDAaTyaRt27qux2Ix0zTfevvtw01HBMAfv1v3wYcffvX9ui3btlVUdRo2+Dixm8gBPEIc5DKCpmpA0GWeIsqccwCQZVlVVecoHf9V7UpwVLcCADJGXVfVddd1BUXxACyAIIBasEDTgQAjgIAIxESuEUFyGTAOmgwAjllQg0HLdWRF9fUdWDZomm2ZVJQ1WfEoB9mSicyoSD1UA+AxRxVVQAIUgACXHQIMUAIuEn+iiL5bhIy5lPk7dwDgHdqaED8uCAQAOOeCIHie5y87n88vfuedqZdffvrpp2/cuFGW5cbGxveWL1+5cuX7778/46qrNE0zbRsFogaDlLOvvvu233GDv9+4obGxcfmHK9atW3fcoEFff/nlB++9Hy8pnj9//uHGxs2bN3/88ceapt1///333HOP67qrV6/WNG3cuHGGYei67jjO8OHD77nnnoUvv9S333Gtzc2/v2/egAED1GDw8MEmI1eIlRQfPngwHo0cP3z4Z2v/9uPGDcNGjAwH9YZ8dshxA44GT4WUkZPVwJHDTSuWLBs8dHBpTXWqvTkqy+CaIGKG2hmGITUqITTt2FkTCk4ad1bBMVuM7Pt/XWu2tQZQO3PiJADIO2BpIEXDAmEAHjAOjIGq+TSnwB1AJhBJDXicU4/JkqIqGlIO0r+1eYQQSZL8jIGqqqFQSA+GFjzz6CsDek26ZEI4Espb7kerV2VSrdfNvGnx229XVtWEdYlSBiBGS6u6dXMGDRn4xZdfM88ZPeqkiy+YAEh8I5uzbFAVQdOGjBzh5AumbUMg0K1rNYiCRbkaDEiGJTCgmqyWl40Z3P/ggQMJw33sj09/+eXawf0H/faReUU1XcZPvBCAMEZfeOGFg/sPpNrbX1jwXKfKykceePDuu+/WRemjD1YIonjOuLGSojJA27KGDB18wX0TX1/450GDBm3a+P2c224/5eSRgLxuxy5JIEC4pCvUdVEQc7lcMBL9cNWa7bsPVFSWN+yvG3v6qIFDh4CdhWhk987NnWLh0ccPy1gGqtrHf1sbFqSQoo4Zd54XVBtTCUXVGAARRcsw9EAQPM+1bCUaBQICgFMwgICAIIni/zCegByYTxwgIhAA3uGC5PJOTfeql15b8Oprb4z51aldqjsrsrzwtReb98PCl19avPT9SLRU0SMUgSHUdO/icfesASf+9bMvTCN36imnXnTJBf4LLFAzRoECOJQOHz482dpyYK8DsnjcgP7cdURAQAwEAoBAPRYrKhrVvdfehn0E7d/dded32zeePXbsDdOmP/vk0+PPvxg4eAI89MjjZiq9u672zyveEyXy0uPzZ/9mVjKZ+PSzNZTSceef5zKuiHIua4w/9/yzzjjt+Rde6zuo5/6DdVOmXztx/ESC+s4djxmmU1pRQgns3LPHY/zkU0Z9tPqj3XW7Thx5giIrQL2y4jggBwIgCB5jO3buXL16dXl5eUDTFEXxHIc7rqAqnNJ4PA4ALqWZXI4B796ruyILmM4sX76iiVnPvfLqFdOmywyYTVGT2qjDdVV2KWRzEAtywtO5TDwS83FlGIZ/8LNOboeH61FPlmRRFEVVBQREpIwyUXKA6yCAqgMHoJTKkoDoEeBEsDymSyIQERBbGxvLu3RybVvVFAas4dDhXtVdQdUgkdTKih0gQEGUBU64B7aAqiAQf8/jUU8CxTGASKDKvv4kIAgdPjQRABE5J6Koij8f/eBIfI7zFa4sy7lcjhASDoevmDIlEAgkEol9+/aNHj1a1/X6+vqXXnqpoqICACzHURQFBIFy1tjcTDmXVEUPBidMmLB/374brr0uGg4/+vDDsiRZBWPq1Kml5eWPPfaYH5eJxWKKoui6fvLJJyuKwjn3Iw+RSMTfuUiKqqjBb75dX19fX92pc11dXSKRuObaawFIRUVFl5oaDrD6L6ua2lq3bNlSU9NpSN/uR44c6dF7gL+ocDBKAaq6dL7s8klAYFc+FXANfrgRZAnAtagLcsgB4rS0Htm776JfX/LkU/M5sjm/vcsFSOZNZMI7T71oM26EQidMnexyFgjqQBAkEZABIApIAECQDNM0HZtyLgmirOsCAv/FiILruoqiAID/3SGNRkFWAtu2baXMmTL18g0bNpSVlkyadLHluPGyKgYAwGVJoEBEVRsyZKBpOju2bbnhhhs820klErFIXFAl03T0oOYACKL85p/fDqtqUVERzec//fTTpR+uFCo6n3jCKQpDML0McSqra9od4+Dhw5eff8F9N9103a2zjEyh35DBJeWdnUxajcYlUZoxY0Zlafmc2bd2qqwEhKCu6+FILp3p37dv165dmUclSeJAgnqAcBRFcD3HtKy6urrmwwe/+nzt/r17OPOY58kBEQA9z1WDoUg0mkymBww8bvbtd0gCNNbv+uuq5a1dKvtER4BrZDLp66dMu/l3dwf14GVXTNVV9WD9Acdln376ycpvv6zq0e2qadOj0aiqqh37A1VVFBUAnFxO1XUAkCRJkaT/ENP5efDpJnR4tr65RAhFVMNmqiZu275ZC4iVnS744MN3Bg/uV1VSms9YsViZpIVM2wFBEWUCBAYM7HGksa2x6fBVV10VDAZbG5tjkZAajlBOg8GQZdue5y1fvlwmENQUoHTpu0uWvbe0V+9+g4Yc19TUHInFZVXp2r06ZXg76/ecfeYZj/3h4Rm3/uaLdV+NP298OFYMLjVsFyKBq669rkdF6SOP/4EKTBAVImuaqneq7jxgYN+S0mIAroiyZbq6HJAFKZu3JVko2Pkvv/myLdW6a3f9th9qy8uqSstLHI87zO3du7fHmMvp9u3bN25Y/8P3608eObKqpLimSxegLsgKADjU69mz59BhwyrLywHgwJ56RZQERckmkrFY7CgS+ceffnL9ddfPe3SuICvTbpsDBLbX1h1ua33y6WdKtVBLS8st99wpqGrescticQiFnUJOCoWikSgA5HI5/SgdfzaAC8eiCIIgoL8bEQQAUFWVkH/0cRDhH9MplFKWzgABLBTKO3c+JoQI2LW6q22akMlBcUkulweAbM4WACRQJFBECWQZkDNVlGVJZgw0HVQV0rkMgJBKJ4AgMHZsl8SP6gDfe/1ZIAQY8408BINBf7W+R6zr+qRJk3Rd/+CDD84+++xsNrtgwYJJkyYZhiEIAmVUFMTOnTq7rguMD+zXf9GiRSeccEI4HE6lUoSQUDyuh8Pl5eW5XM62bd+JPhbE0TStqKhIEATDMBAxn8+vXLny6quv/uyzz1RVLSoquvvuu++8556Fb711zjnnWKYJR/P7APDEE08cOXJk4MCBNTU1jz/+x3A4DLLiZHKOY/nmiDHGbI95tL21taKsrOHQkbovv3LzZkgPCgBNjY3B8vKR48eDLFuOk8vlJlw6YdE7i7Zv3x6JRC676YYZv7np6qunlRTJmqYapg2UAwAwCtR1PQ8APO6VlZWVxIukoxtY23aQ0V9wsHwSc879RCKltKWlZd++fbfccku/Pn0mXnBBPBKt3bb97DPOfH7BgksvvliTFAFABEI9VwAQCUm2p2bNmjV58mRRJJddNum9994TVCnTngIA03QKBTMcDF571dUDBgzIZrO7du16/LXXJkyYMHv27IkTJ5T07AaaHA6FOOCzzzw1bdo0z/PmvvX2V199deDAgXA4vKV2y4svvgQAjLOioqJ8Id+3b998Pu+aZjAczra3de/evbKykmiapGn5fD5fyGdz2TVr1kyefMXu3bs557Zt33nnnXffc88rb7wx+tQxoqRQ0wAAPRjMZnOmaZaXxzOZ9KZNmx5/7DFFUR566KFTL+hwA0eOHOlxFosW1e6qnTlz5p//vKS1tfXAwYazx4+f/8T8a665RlXVZDKZTqf9tAH1XSHfhslyIBAQRZFS+u+Q/4sgCAB//yAICAJAe2v626++vubKa0qLiy+cMCGsBQ8daDhpxMkbN2y6/PLLRVFkHTtCAgACQerBk08++etf/9q27dNOO+3DDz+klAIIvjbQNU0UxYsuuuiMM85oaWlZ9803r7z++mWXXXbZZZf169dv0NAh/lQMw16wYMF1110XjUafffbZVatW6bpeXl5+sK7u5RdeCIYDlsUqK0stw0bKQnIgX8jbts0YS6VSkUhEVXXXsQFQ1xXG2Jtvvnnfffd9/PHHoVAoHo//9re/nTFjxmsLX+3Tp3fj4SYACOgaY0wSRUmQ5syZQz02YMCAYDD44osvNjQ0AAdwnEw2E4vGZFkuLy/nlDYePuynuf66Zk20uNg0zWw267P39GnTPerF4/HNP/xw26RJK994gwBEo9Hbbpt15VUz7v7dXbIsudyTRak9mQAANRSyXRuO+iLyf6Jjh2iJguhrEDyqtkRBREABBMuxwOcMWQY/NgwEAFRVFeMxcD0SDgP1qGWBINiuTRlLZ9NaIACKDAhaIMgBolHNH9hDz3Gp50GhUPBf5FEvm0NEiEfiANBhbUQJj85YPGorfpkXJUnyddmxGPb+/fsvvfTSuXPnzps374svvvjxxx8tyxo8ePDNN9+8dOnSoqIijzNJlApGYcMP63v16CGKYr6QTyWTJwwfAQBBXZckKZ9OA+eFQiEQCCiKIgjCpk2bfA+XEBKLxVzXBYBgMEgIaWxsvPjii//0pz/NmzfPcZxwONy5uhooBYBcLuc4DnMcRVVt0zRNc+bMmVOmTJk+fXpRUdFFF110/Mmngeuouh5U9Xw+yxmVZXnhwoVvvPHGgF796uvrS0tL+4wZc+21155yyikcaedOncAwgFIQxVA0UllW+d7SZVdcNuWcM89yKQUFQARNAeqCAEBEATgDANACICmqFgIQZEFsamz0PMaRd0jpv9kH/RP4ts2PLVRUVHTr1u25Z581TRMY55zfduutc+fNPbj/QNfqrp7rECCObSmyIiCIorBk0aLXXn2xrLQkkUgkEslRo0a9u+idWGlRIKAGAmo4FLAMY/bs2z5ds0aW5UFDjvtu9ZqePXtXV1evXLECCNjtSQCo3bF9wvjxnauqQpGIUVfX2NI8+swzw4Hg8QOGDBw8+ME77mCMy6KMiO3t7eFweO/evdlsNlpW1tTUpEWjTqGQT6fD4XA0FG5oaBg1atRbb7110003lJaUdOvWLVZUBILIbLe1tVUOhnJGwd+fr1+/vmevHq7FH3v00csnXTBq1KjevXvX1tYCAE0mQNEESUVE17YH9xvw6LyHr7hi8ogRI/r06QUCMS1TFkRNUioqKoLBoCBJACAFg75jQVQVABKJRME0+S9vMf4DkH/6W14eP/ucMU899VT//v1TqVTeyN/12989MPeBbdu2BeNFtuWIsqxpqkc5c0FVydNPP/3oow+LgqBpmud5p5522qZNm7PZtEjEXDbvK4snnnji+eefj0ajJ40Z88Vf/xqKRDp361ZfXw8AsqoAwJYtW6ZMmVJZXn748GG/xLVnz57tyURN//5dunR58P6HfPUdDGqmabroFnI5YFzSNEmSwpEoAAiC4FEPABoaGsaPH//AAw88//zznudxBrquV5RWBMNhSmkkEpFlgXNURFEAyBv5adOmnXrqqbNvnd2zZ89zzz331DFjQFFAVWPReMEoJBKJ+fPnv/XWW526dPET3WPGjLlq2rQ+ffpEo1HLsjjnhmk4jnPgwMGhI0c+uXTpBVfOqOncRRIEACCKSBRREEAT5I4QMOfptjZN0RjjfoTNp6P57+n4d1/Gz/wgomdZ+/bt49jxQC6Xa9m169htvtYzbWf//v2HdtSC4wB0+MVrPlqpKZosyvFo3HEdCASAc0EULYcBgc2bNrjU0YiqyqKqQiQSASCpVFrXZVkhRAAAwWaOQKSdO7cDAJHkDp+aEEBExJ9uY/8VRFEkhFBK/UQwIaS6unrZsmV/+MMf7r333nHjxk2cOLG6utontuN56XRaFETbsWVJqquru/DCC2VR3L5t2/nnn2+aJgB88803I0eODMfjIAqhUIgxJknS8uXLR4wYkUgkCCGCIPiZTQBgjDmO06NHjwkTJiiKUlVV9fnnnw8ZMgQAQJK46xYXF8dKSkRVBUK0QGD+/Pnz5s0bO3bstGnT9u3b95tbZgOAa5mgqgBCUFFlUWpvb58yZcq0adMAsHNFZ19KX1n42iknjPJcVwAAXQdZAo8ahkWppwuq69qapgEAOAgiWDbqCuSymVAkAo57NJfNERgCep4XiUSKYnHPdnyDr2gqEOIWzF/AMyL6lTHHzvh8362mJhaJSIJg5PPUdSvKygQAVVEFAF3TbctExp/84/wrp00XEABAV9RAUO8/eNDeffvWff0dALQ2t0+/Yka/Pn2ff3bBOeecU1VVBYr65ddf9x0+TAQYMWzYZytWaOXFABAOBof0O66tpYUDbNm29Y7HHgOApsNNyVTyjHHj7p/7kCIrpm1qmqYoytKlS/sPHChJkmea4VgUANRQKByP+2Zj0KBB06Zd4Xle374933nnnZNPPrmQywGAqAeCwWDLoYNFpeXougBw6NChSZMu0TThjTfeMC3e3tKqynJVVdUjd90lxWMAgudYiqgaeYMzrKosBwKtifaS8rJEU2NAD8iiXDALuUzGsqxCLtcRA5BEUFWfwxVFKSkp+X9wcn8GKIXDh5vj8XBbWxshxA98WZZVVFQEgHokAgCmacmyQAg89NAf7rjjVlEUdV32K2pqamr27Nlz6NAhAUAQhJtmzhx37rlz5869/vrri0tL8qnUoSNHRowYAYJQXV296M23XNfL5YxYLFbduZw6brdu3dasWfP4I4/HQ3GfYcZedOH9D/5e04S2tpRpOqqqrlmzpqKiQhRFK1+wbduPNEqyIkuy7di9eve45NLxRUXB4uLizz77bMqUKYqo2K7r2nYymVRUCQj4Ev3j5h//9NzzSxcvueSSS26Zdcvf/va338yeQ9QAAILnAUA+n/c879prr51x1VXUdTnnuq5LqrrwzTcvuOACx3F0XRcEIRgIhoKhspJSAADH9pktICsAkGpL5tO5QsGSACRBoJyDKMTLyhBQFEU/KoD/iY4dzqP/DAAIkpRLZ7799tuJVZWCHgAASmltbW3FsOH+bf79AU0tLy//ZvE71QMGgOOASCRd3b17d+9BA7tUd/WQBRTtk0XvnjPp1+lMIRAPUQ8aGhq61BRXVnTKFTKxaJwxDxGLiooKWTcUUN57f9W4CacpuppIJ1avWdO3Vx9BVoAQTqkgSYxShvDLCtdvP/OjJ47jSJKkqqqf2zl06FDXrl2z2axt2yUlJQAgy3I8Hneop6lavpAvLipybFtXtT179gwYMCAejS1bulSVZV9jUtf1GJNV9c0333zllVfefffdDRs2LFmyZPXq1ZZlbdq0qby8/KGHHqqoqPDrQjzPS7a3p9Ppbj16AMCWjRuj0SildP+ePd179zby+b179952223BYPC5eXNnzpx5sOHAm6+8Mv2aq5RoUS6VjBSVaap6qL3tmaefVE1PVGVKnZamJsO2AIgSirnMDalBAQAEATNZEgnH43FZkrOuGVYCAmOZfAYUAgLoOpEAiqPhOTc98t7blVogYJi2yxmRRAQRBLG1LXn1lVcef9xQv6okl0hF4nElGPh3SPYD5T6L+51mjDHO+YKnnuvevbsf81myZMm1V11d3bV63tyH7r33XsMwgqGoa9lvLXzryunTo/FINp1RQ4GSkhJKKWd02pXTanfsWr7iL2N+9avXX3tNUkQBoKq8ssX1Vix77+6587hlES3UrVvNwj8+ceJJJymdyrt369aWSZSWlu7bsvOcK6al9tVv3b+3prq6rKgUPA/UAAAA40D4t99+O3Lo8cveW7Zv//7XX3998eLFLW1tu+vqXEZfeumliqoqz3YUTQ8FlD179qdSycrKCvTc3bW1yBmltKKqCkAgirh+3bqBAwc2HWlZ/sGKO347p729vVNVhaxIZTXV1994492zZz/6zAIgxLLNzlVVikgymUJ5LFRVVbH/4IFLOk3NmIYcCEYCod35/Mcff7xqxQrPdkLBIDJmu65lWaIkSaoyderU/v37y0eTw/9D+MdAEAFAkCTo0qXy+RdeLCkt0TRNAPHBuQ/MnTsXXG/BU8/cPHsOIAYCOkd49bVXb7zxxnzeiYZVRNB1nXMejEamX3nly68t3Fp3YNwFE++5++6azp0PHTokiWKvXr22bt06fvx4UFXuOD179Xp78VLHsiLRyMD+fT2A1tbWQj5/2eRL9xxpSGVTnHM3m1UisXy2wEOhsrKiAMLqVat+f8bJ7y1dVle3Z9WqVc3NzTNvuunQ4YPRaHTWrbeNGH4iMkAExqG2tlbTNFVRc1b2wN59UT3ap3cPx3HaEolO1Z1dyiRBuOvOu5qamz5fu3bsOecc2Lfvb598Mua000QgLqOc2ZUVlQ8//LCiKIVcLhSJ5PN5PJqTB0JUVW1ra4vEYqZjBwIBWZaTba3FsTIA4lgmQXQsr6isGADasxkBdKdgPP38c6v/slIoiR9JJsJawHVdy7IkSVKUDjqqP0tHPNoIa3rusWa43//+96bn5pA3IWvOZf784KNoI7qeiegiZhn7vqGhzXI+X77yq6Xvb/3625eeeWZP7bb5jz/MkLpIbeTJdLq9rmHWtOs3bd+z/NMvXlv41q/GjLn26im3zLr2mWf+mGhvNo0sIs9nckgRXcwkrNtvvz1XSC3/8B3HMz5ZvdIqZBC5Y5l+5+CxVjzGmMc4Q6QcGaJDEYiA/J9bcn3Fd+zn4sWLTzvtNP8859xvskym0wzx408+8X++9MorHZ27+fyWLVsuuegiRKSW7ff/NbW0+Fe/+e67jh7No5/G5maG2NrefuzMRx99hIjM86jruoa59pNPzz/nXOSIjCPizh07fnfvvStXrWpKtLuIOctoPLDnzlk3PPHYvB/WfX1wbz0i5hHbHRs5Jppb84jrare+9sxT6Fp+c6SLvKm9DT2GHsO8seCZZw6mkwnEJPK9Bw89+cAjaCLmKVKsz5ptiF5HF6uDzGbMYug4zGZIKTKGHBFTiQQyjpR1LODfgG3bP8XqMXAMd87Nt+3eXvvwAw92tClT+5PVKy+79ML3li7KJhPHGpfzyZzfkTnxwgm2aSIi91gqmWYcPY4uYsHj6YLx/soP//z2W4gUmYvIXcQjLa1GWzJ1uNFGTCO2Ia78Yu37r7+JeQsLVtuhw1Ouu6Y5l86lkojc9Fwb0UVMZDOU0j27d/+9A5Ujckwnk34gniE6jB9pTSx+9wOPY65g+G2yb7z6p2tmTGFOwS6kEb39e+sZ4qHG1kTGsDkuWrZ66MjT2lqT1DIRHVZo99GbNQv3zptXQMxTTOaMut17HvrdPcioi5jn1EZ0OEtlMogdDcr/MCvWgfdjvaH/Nfh9vV5Hdy8/2tfLEBkaeSefM2dMv3LX7p0LX3/Fcvz+WnfVimXTpkx6/bVXGaLHMZEx/L5el2Mqa1x/402eY9tG1sqnEKmLmKdoI3qIDPHLz9e+ufDlfCaBSK1cGhlF5Ns2bzVyBc/lpsPyHn7z/aZFry208xkbvdrDu88963TkHBlSmxU4ZjzMJLKu6xbQ27i31nY9ZGgWCkcX4iJSx7WRY2tz0jT4F198l8kaDnU99Ey38M7ixdMmT0knUuj33NtWWyY9c/atH67+yEM0LAsRf9y48Tc3XP/eksUffbgilcl4iIlUykexZRjrv/n2peeeR8qsXN7HvOd5DLE1lfQQf/u7uxA5UkSG39duv+XB33uI6bYEcvQQ04gF9NHLc6mk99P/KoDIfpGOBBH9sjDbsXVJFkUREO69794H5s3LM88QoJjIi+958Orf30+Z5QV0CcDi/JFnn73ikkmHv/k+rionTBjHzNyrr7+WzGTuvu/3OdtS1KBKBMGDAzv2VBzXuy2dL7Q1rl6xPBLTC0Z++LARp51+hut4iqwBiK7Fn3r6Wcbpxh/XMXSGjxzauXPnbZu33XrzrJruvVzbVjQNAGzb8TfLnHMORBCIb58oA1UWzYKhBzQAMAxDVdVjKUI/vHDM1CCi751xAMuy/JSi4ziyLCOiKIrImO/p+1ep60qy4m/EOcCxWqh8Ph8Oh33VoyjKsWFd15Vl2bZtTVFEUQTOQRCAceAcJAkYA1FsOLC/U6dOXBBkWWYAlm2FNE0Axm2rLZ2JF5eqsgYE/Ah3iCEIJGEbYT2oeh5IAnAKomg6nqbqAgJ4FGQJAQ1Cco4ZUnWVoeqXTAvAEVIEBBEiwATPESQJiO8HEZu6siRzDrIgAhBOqSBKzLZFRQPOQf6lwiQ/PtXBQIQQQgQQkq2J4ooSADBzuUA4eMzfQuoRSQUAO29SSkPRKHUcSZZAEgBIe2traVk5J1AwnEBAtSxX1xW/TEoAyKSSsaIiZCxtmrFwRPAoSFJLNh2IxSmAChDkHblV18hjJOxRLyTJ3HG5qiAAInddN6RqHeXSrkdkmdo2IsoBHTj3JUOQJI4AAIxSWZYEANe2FE2xjbwWDCP1OAqiLBsFSwsGKANBBI5QyNnFUQ0IArNAFAHQcR0iBogoF2waUCURwDHMYDAAzKOSbFNPlWQCgIzJfqCcI3AOoshdV5Alz/NkVXUc5+c9o18C/IdKevx7uhs5EAFc11NU2XEcVVUocyVR9Gxb1nTLsPRgkHqcIpdkmSGIBChFRSaFQiESClHXkRTJNm2iBTyGzHNEkQRUTQC0rYKmB8DzQJYBBOAciAgAhmHrQc1FkAhIiADUEJgAgg4ioABIkEGegChBkAMIYAE1XLtICYHNiAxEhEIhGwqFXEoVSTcNN6CrHCFfsMIRHQh44EggiCABBxCIZRh6MFi/b1+XrjV+WFYURM9xVFUVAIDz+t11vfr1dRkTJEnwt2icC5LEbEf08UypX6LOOaecC5JkO7amak4+H9SD1DC8aJgBBPxOAsq4LJoAjm0WSxoIAhC/X4iLoui6riRJnuep/56Of1e4HvUkhD8+9tju2p3bdu0cf9GFo88+q76l6ciOnbXvrKgur6gcNfKGu+8Aj2rhyNYDB3nBaNuw+ZzRo7SicGsmUVZZ/vSCBbffeVcynwuEi/bu3DOoZ28g8On3Wyo6lx+q3bR3145p06/Y31AfCgX37tt//viLASVAMHLOzrqdRUVFPXrWPLvg2T4De1DP2b2j7uabfsNR0ALHtrfE38/+rMJFxn6hWwIRKaV+Vs1XrB2lx5wzxgiiX6LcEZf0tSSAv/UAAJ+oLqV+mPhfR/M8z3VdP0Dmp+8FAFmWkTEiitSyJU3rqClmDCTRczqIzQBMywzrut9T4nIqCYrAAARSIEA5ixEREDwBAEAG7Cgq/BfRYoAWIcwvZEeQ+NG6dwEKBDhAAFD6e9sK8GPVKUdx2yG2f+eLf4vMn4ejYyP1iCQBcAAGx6r3OSBjyH3dLIEIQBCQApEASCaXD0XCgGAYdjCocYqySAgBBKTMk0WJA3IAiYj+DD0Cjt+VQ92ooIBHQRKBM0+WLNeJKCoylncdXQ8wRgVBIJRxzlVVBcR/TSv5c/c8KssSY1wUBWrbiqZS15UUX6oFAGCcERRBJADgeigQIggg+d06aHc07BCZ+7jHjjdIHd09wIEc04j/YMp+rnXo/wp++g8U/nksz6OyIgEA45QQIhD4h1kg4UddCgHB6YhvanahoKqKKMsAYLpUkWUgwDxPlWW/iOYnk/YFhzDOCRFAAIZgG05YFUEhee5QpHExCBSBIihyhoKsQJADEHAIpYABLhMEINxvsqLMZpyosgYoei6KEqEMJBmAgMNsRRTBQ8JBUBVkzLCsQCjUsZSjrs8/rJBzRggDlPxMEeee58mSDIJAbVuSZZBEACgUCoFQ6B/I1DFD4AAqgAD+FMEBEABUBOAIAjAAkfy39Ps/i994f19wRAQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=464x14 at 0x7FDA2C033A90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -63.6303,  -57.3998,  -91.0677,  ...,  -83.6934, -112.3989,\n",
      "           -76.5158]],\n",
      "\n",
      "        [[  26.5183,    3.0313,  -26.8553,  ...,  -24.4819,  -83.0320,\n",
      "           -56.6750]],\n",
      "\n",
      "        [[  -6.8205,  -36.7645,  -68.1320,  ...,  -78.8836, -100.7812,\n",
      "           -86.6485]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   3.0294,  -16.4146,  -48.3348,  ...,  -73.9016,  -63.6177,\n",
      "           -60.2422]],\n",
      "\n",
      "        [[  42.3731,   17.9203,   -7.5396,  ...,  -36.5278,  -19.5483,\n",
      "           -15.6109]],\n",
      "\n",
      "        [[ -29.2028,  -54.3529,  -77.8935,  ..., -100.0968,  -88.7448,\n",
      "           -84.4657]]], grad_fn=<ViewBackward>)\n",
      "-、---学历证明爱印件-技术职称证明原件-技术职称证明复印件-\n",
      "、---学历证明爱印件-技术职称证明原件-技术职称证明复印件-\n",
      "0.5090370178222656\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=134x19 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -68.4014,  -76.5131, -113.2069,  ..., -129.0278, -108.4414,\n",
      "          -114.8033]],\n",
      "\n",
      "        [[  14.6383,  -20.1167,  -67.9025,  ...,  -74.9582, -103.3783,\n",
      "          -102.3810]],\n",
      "\n",
      "        [[ -10.7305,  -48.5871,  -76.9473,  ...,  -98.2930,  -97.1184,\n",
      "          -109.9480]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  -6.7196,  -32.3355,  -69.8669,  ...,  -91.8905,  -83.8775,\n",
      "           -74.6520]],\n",
      "\n",
      "        [[  36.9228,    8.9911,  -12.5884,  ...,  -38.5443,  -20.4332,\n",
      "           -17.0856]],\n",
      "\n",
      "        [[ -22.3058,  -50.7997,  -69.3294,  ...,  -94.1262,  -84.1272,\n",
      "           -77.0505]]], grad_fn=<ViewBackward>)\n",
      "-安全驾驶经历证明口\n",
      "安全驾驶经历证明口\n",
      "0.21105480194091797\n"
     ]
    },
    {
     "data": {
      "image/png": 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1B+/dvevwnvkQKjVea+0ZAjDGS0VCUL1aLZfLU3EQgDWJtVYJASGUDmpxUioUATJpajJbLLW4xMpQ5YkYe0dSejAAhiVwI65xJophUeqg2YuTsHBMrnmEJelIsYIgBA5gQHqQcbAegYQUEHD/CzTXKwt/98UMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=93x21 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-109.3069, -120.8011, -127.3815,  ..., -149.2737, -150.8212,\n",
      "          -148.4478]],\n",
      "\n",
      "        [[   3.4833,  -31.7517,  -61.8285,  ...,  -82.1293, -118.0937,\n",
      "          -117.7253]],\n",
      "\n",
      "        [[   1.3631,  -34.5604,  -55.0056,  ...,  -84.1059, -105.7971,\n",
      "          -101.3112]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  17.9820,   -1.5748,  -36.6866,  ...,  -27.3676,  -36.1071,\n",
      "           -17.4678]],\n",
      "\n",
      "        [[  24.9085,    3.9265,  -30.2138,  ...,  -41.7200,  -33.5747,\n",
      "           -32.6137]],\n",
      "\n",
      "        [[  -9.0520,  -37.6695,  -59.7905,  ...,  -82.0659,  -74.3012,\n",
      "           -65.2364]]], grad_fn=<ViewBackward>)\n",
      "-驾驶证原件-\n",
      "驾驶证原件-\n",
      "0.20041465759277344\n"
     ]
    },
    {
     "data": {
      "image/png": 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iNZfNJk2FoZRSyCZ9ZeJEaXKzGc5gCNSkTUnbxOUSwMCRoz3dPYFfd10343oAGvUgV8gDMEoLR8ZRmMl6sYkdkQkaQT5XGB0td3Z0YLzJVnHCOeeCNRqBKyXzMooJAFk62fvHDCkp4gCZt42HDACySIlTssZwxwFjAJG1TAgASinHcUZHRzs7O5VSDFxKEccasBnPQVMxBwSInSTGmkWBeRewAkgJAQCc88Qoa20KSrNWIFhtuBDpmzaktTapfmYhmDE6JT5EyqEr7TiOMSYMw0K+YJQWUsLAr9cL7cWKXy4WW9MUJpkAwAm+Hxby2SOHj3afPm3cDQIQa5Vwzgl5Lpukp0pGdKwYirmi8wdwWyBjLWcnixxSirkOgCSK3Ewmpcfq9XqxWASgEu1IaZTlLmPMNqLAWpvNFVh6cVnwCcKFEWD/FzGL5G0tRbkMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=114x19 at 0x7FDA2C033AC8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -81.9991,  -86.0644, -108.6061,  ..., -128.5302, -103.2839,\n",
      "          -118.5359]],\n",
      "\n",
      "        [[  19.3453,   -5.0575,  -29.2611,  ...,  -43.8228,  -62.4020,\n",
      "           -73.0277]],\n",
      "\n",
      "        [[  -9.5227,  -43.4954,  -64.2896,  ...,  -85.2624,  -81.4406,\n",
      "           -98.4328]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   2.9965,  -18.1470,  -51.9313,  ...,  -75.5941,  -60.4289,\n",
      "           -54.9230]],\n",
      "\n",
      "        [[  47.6061,   20.4185,    1.3751,  ...,  -23.6750,   -5.2226,\n",
      "            -3.3699]],\n",
      "\n",
      "        [[ -17.8558,  -48.4319,  -67.6694,  ...,  -89.4222,  -82.6870,\n",
      "           -73.4712]]], grad_fn=<ViewBackward>)\n",
      "-驾驶证复印件-\n",
      "驾驶证复印件-\n",
      "0.11775612831115723\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=412x19 at 0x7FDA2C033AC8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-107.0199, -110.8915, -127.0860,  ..., -161.4115, -153.5895,\n",
      "          -148.4650]],\n",
      "\n",
      "        [[   6.6945,  -27.7254,  -59.0702,  ...,  -86.4263, -105.5177,\n",
      "          -112.0239]],\n",
      "\n",
      "        [[  15.8348,  -26.5339,  -52.4065,  ...,  -92.6030,  -94.7278,\n",
      "           -98.9920]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -18.6669,  -53.0931, -109.4662,  ...,  -90.6303, -118.2275,\n",
      "           -75.3658]],\n",
      "\n",
      "        [[   1.4431,  -33.8084,  -86.1920,  ...,  -52.1576,  -87.9850,\n",
      "           -33.6437]],\n",
      "\n",
      "        [[ -31.4975,  -31.5264,  -67.1400,  ...,  -35.7845,  -68.1181,\n",
      "           -26.6099]]], grad_fn=<ViewBackward>)\n",
      "，相应车型驾驶经历证明-原从业资格证炙印件--相应教学经历证明-\n",
      "，相应车型驾驶经历证明-原从业资格证炙印件--相应教学经历证明-\n",
      "0.984107255935669\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=381x21 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -68.5230,  -75.4997, -107.1512,  ..., -115.9369, -100.9343,\n",
      "          -103.6311]],\n",
      "\n",
      "        [[  22.7873,  -11.8922,  -48.0677,  ...,  -53.3711,  -77.4891,\n",
      "           -79.3157]],\n",
      "\n",
      "        [[ -10.6880,  -47.6369,  -70.4239,  ...,  -95.1566,  -87.5860,\n",
      "          -103.1957]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  -2.9159,  -21.9127,  -41.6254,  ...,  -46.0976,  -39.6655,\n",
      "           -31.1851]],\n",
      "\n",
      "        [[   4.2919,  -20.8660,  -50.4327,  ...,  -58.0022,  -50.1842,\n",
      "           -49.2652]],\n",
      "\n",
      "        [[   2.1671,  -31.9716,  -57.1281,  ...,  -67.6670,  -61.6131,\n",
      "           -55.9262]]], grad_fn=<ViewBackward>)\n",
      "-本人承诺上述所有内容真实、有效，并承担由此产生的法律责任。\n",
      "本人承诺上述所有内容真实、有效，并承担由此产生的法律责任。\n",
      "0.3416292667388916\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=41x23 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-57.4734, -54.5440, -70.5874,  ..., -76.4804, -74.5958, -66.7207]],\n",
      "\n",
      "        [[ 30.5617,  -5.1380, -51.4055,  ..., -47.3750, -96.1121, -74.8757]],\n",
      "\n",
      "        [[ 12.7038, -36.3504, -58.9944,  ..., -62.0582, -80.3329, -70.5705]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -6.5781, -29.6735, -43.5666,  ..., -51.1134, -46.0125, -30.6622]],\n",
      "\n",
      "        [[ 21.5287,  -9.7423, -15.8670,  ..., -25.8084,  -8.4470,  -3.2811]],\n",
      "\n",
      "        [[ 19.5485, -11.2337, -41.7790,  ..., -41.8782, -60.8366, -38.6464]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "《诺\n",
      "《诺\n",
      "0.08414864540100098\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x22 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -60.4896,  -57.6566,  -60.9749,  ...,  -75.3827,  -70.5224,\n",
      "           -79.6531]],\n",
      "\n",
      "        [[   7.1244,  -32.0758,  -72.2839,  ...,  -75.4687, -119.0017,\n",
      "          -109.7456]],\n",
      "\n",
      "        [[   0.9311,  -38.3435,  -75.0681,  ...,  -98.8617, -109.7776,\n",
      "          -110.2975]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   0.7029,  -27.1001,  -72.6311,  ...,  -85.8645,  -70.1050,\n",
      "           -65.3459]],\n",
      "\n",
      "        [[  43.3514,    9.2747,  -26.3491,  ...,  -53.8803,  -31.1064,\n",
      "           -16.9072]],\n",
      "\n",
      "        [[  -5.1923,  -17.1001,  -47.8880,  ...,  -71.5719,  -58.3524,\n",
      "           -40.2118]]], grad_fn=<ViewBackward>)\n",
      "本人签字:\n",
      "本人签字:\n",
      "0.05900382995605469\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=52x18 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -72.4544,  -79.8206, -115.7780,  ..., -136.1607, -115.4454,\n",
      "          -127.4690]],\n",
      "\n",
      "        [[  23.8935,  -11.4556,  -51.1681,  ...,  -62.6095,  -82.7915,\n",
      "           -93.5207]],\n",
      "\n",
      "        [[ -21.9037,  -57.2278,  -91.0798,  ..., -112.8935, -109.6786,\n",
      "          -131.7470]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   5.9375,  -11.4561,  -35.1532,  ...,  -60.7395,  -58.5160,\n",
      "           -55.3172]],\n",
      "\n",
      "        [[  27.5981,    7.8563,  -21.4847,  ...,  -42.5016,  -25.7002,\n",
      "           -25.0671]],\n",
      "\n",
      "        [[   6.3746,  -19.3586,  -47.2269,  ...,  -69.2886,  -56.4249,\n",
      "           -43.7213]]], grad_fn=<ViewBackward>)\n",
      "-张XX\n",
      "张XX\n",
      "0.06692171096801758\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=154x17 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -56.8789,  -66.5658,  -97.8465,  ..., -102.6065,  -86.9389,\n",
      "           -86.1265]],\n",
      "\n",
      "        [[  16.7451,  -12.8809,  -44.2103,  ...,  -51.5717,  -75.6800,\n",
      "           -73.8645]],\n",
      "\n",
      "        [[   5.7804,  -29.8417,  -49.8762,  ...,  -69.0717,  -63.8692,\n",
      "           -74.0228]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  -3.4169,  -32.5637,  -65.5298,  ...,  -76.7681,  -77.4237,\n",
      "           -69.8345]],\n",
      "\n",
      "        [[  35.0495,    6.8101,  -11.7004,  ...,  -28.4245,  -19.3858,\n",
      "           -16.8230]],\n",
      "\n",
      "        [[  -8.9272,  -42.4605,  -58.4336,  ...,  -81.5780,  -72.1722,\n",
      "           -64.8272]]], grad_fn=<ViewBackward>)\n",
      "日期20XX年XX月XX日\n",
      "日期20XX年XX月XX日\n",
      "0.1819617748260498\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=51x18 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -71.1918,  -71.5422, -108.5826,  ..., -120.6457, -114.4840,\n",
      "           -99.2444]],\n",
      "\n",
      "        [[  16.8317,   -6.5621,  -34.3887,  ...,  -50.5534,  -69.1039,\n",
      "           -77.5425]],\n",
      "\n",
      "        [[  -4.2633,  -41.5522,  -66.2877,  ...,  -86.0973,  -83.0148,\n",
      "           -98.5930]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  -4.8820,  -28.3883,  -57.3285,  ...,  -76.2131,  -65.9195,\n",
      "           -56.0924]],\n",
      "\n",
      "        [[  27.6034,    4.2061,  -19.9604,  ...,  -37.4779,  -27.0859,\n",
      "           -20.6795]],\n",
      "\n",
      "        [[ -15.2241,  -40.0348,  -62.5468,  ...,  -80.1571,  -71.1089,\n",
      "           -53.9523]]], grad_fn=<ViewBackward>)\n",
      "-监考人\n",
      "监考人\n",
      "0.17750930786132812\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=61x16 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -55.9828,  -58.9922,  -93.4290,  ..., -115.8689,  -92.5754,\n",
      "           -96.7751]],\n",
      "\n",
      "        [[  28.0943,   -4.6342,  -36.6762,  ...,  -50.4609,  -76.1208,\n",
      "           -79.2803]],\n",
      "\n",
      "        [[  -4.1832,  -43.8102,  -66.0601,  ...,  -90.9670,  -84.9408,\n",
      "          -100.8593]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -14.1443,  -37.8020,  -63.6828,  ...,  -80.6128,  -65.3196,\n",
      "           -65.5672]],\n",
      "\n",
      "        [[  37.5912,    8.0709,   -8.4012,  ...,  -28.7731,  -12.0075,\n",
      "           -17.3057]],\n",
      "\n",
      "        [[ -27.9713,  -56.0624,  -74.8457,  ...,  -96.3182,  -81.3328,\n",
      "           -81.0925]]], grad_fn=<ViewBackward>)\n",
      "-科目\n",
      "科目\n",
      "0.07407212257385254\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x21 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -71.7208,  -75.9303,  -84.1127,  ...,  -92.2291,  -94.1977,\n",
      "           -87.9409]],\n",
      "\n",
      "        [[  18.9022,   -9.5473,  -39.7815,  ...,  -61.3081,  -83.9159,\n",
      "           -82.2192]],\n",
      "\n",
      "        [[  -6.3972,  -33.6297,  -44.1535,  ...,  -74.8827,  -73.7862,\n",
      "           -79.3022]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -11.3164,  -33.9060,  -74.0833,  ..., -103.3494,  -74.9643,\n",
      "           -70.1850]],\n",
      "\n",
      "        [[  22.3356,   -9.8009,  -27.9551,  ...,  -54.7649,  -29.5323,\n",
      "           -31.4386]],\n",
      "\n",
      "        [[  -6.6283,  -21.6166,  -42.5922,  ...,  -66.0920,  -48.8736,\n",
      "           -45.4468]]], grad_fn=<ViewBackward>)\n",
      "《主考人\n",
      "《主考人\n",
      "0.09977269172668457\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAD4AAAAVCAIAAACRyMrmAAAGvUlEQVR4nNWW328U1xXHv/fOr53ddXZtcCmIX3UghlTIshA8ghDQl1aoggc3vAQiBal9qBBSioTU/AFplSciaPJQkKAircqDU5WKByBtZSqEQ6mBQhPFEo1/x3hnd+fX/XFOH9YGAtjbKpWqfjUazejOnPnMud977hHMjP9Pif81wLOSCxfU9lF+InrumJcxhomzNG+drSEmJpp/oNlsMrNSSinFi6v1lmWO08wyfzE5ZZk1s7bWMmd5ykwqS5//+mJ6/JO82K8mSaKUAhAEfusspQCglQGglCqVSgA8z/M8b4kcESGOs9nZR1JKAlas+MZcPSImSNlIYq01AEcIWAtQXHvUNuliweuP0eXTo0/NDojYGOM4DiCF4AcPHnxz5YrOzs5W+tM0LRQKAFzXffGnGABIAIBliK9a9cupCaXU2jVrAYAMpAScpdHl0sMAoijK8zxJUimF73uOIx0HUopisTg4OHjjxo2zZ8+maVoul13Xbc3PC5Vl2hi2lpTSzJxl+Ye//vDz0c8BWLKjo6O3b9+GtQAgBC8e5z9Ar1QqQRCEYdi6rdWi1sXs7Oz09PTWrVvXr1/v+z6ApYtVoeC5rnAc6fuelCIIguvXr/d8qwfAzZs379+/f+nSpUOvv/6L996DEML324K1NwwRGWOMtr7vK6Vu3bq1cWPvsmWdjiPf+dk7/f39V69eXbdu3cDAgOd5Ld+/WIw4zsJywRhrmYeHhzteKhtjenp6Hj58mNSjJElUnKxdu/bbfVtgLZw29Iv48ilJKT3P8z0fQJray5cvf/LJXz3PKZfL9Xp9586de/fuNca4rmuM0VovsViDINDaeJ4rgdHR0dde+8FbP3nr6NGjMzMzf/nznzZv3vz9737PCQLOEm2tX/ra6ACSJCkVS0RcKpVWrVq1Z893enrWC4GPfveREGJqaqpcLjebzWq1aoxZLEiaqjD0s1Qz88/ffXdoaOjjP147cODAmTNnZmZm5mamq9XqhQsXwjB8tXfjpr6+tlTtvQ6gVCoppaUUUopGo3HlypUjR45cu/bx5ORkHMfnzp1LkqRarSqlFi0vQBj6zCgWQ9/3jh07dvHixa6urr179u7fv3/37t0DAwNdXV2Dg4NRFG3q68PiKXis9lmP47hUKrXqrtZaCPHmm28Yo9asWVMshadPn962bVt3dzeAPM/9xZdXrdaoVjsYiOOkUCweP3582fKu9z94/9ChQ3fu3FnZvXzHjh2vbnxlbGyM0lQuVIWvhd5aeaVSEYBSKk1TY7hWq738ck+cNKenp3ft2hVFUaVS6ejoSJKkWCy+ME612kEEOCgWiyywb9++3k2vdC/v/vSzT8MwbDQaIyMjSVRfvXq1DEOTpm5YXhrs3zLMxMQEgLm52tDQ0JYtW+7evdvV1fXgwT+Gh4f7+voajUalUrl3714URYtxAyCClIiieqPRsJb6+/tPnTp1/lfniUgIEUVRb29vnueVSgXWuv+VrDcajZUrV4LR2VkdGxs7fPjQ+fMXxsfHrbWHDx8GMDAwcPLkybm5uQ0bNiwRx1rKc1OpvATgN7+9mKbp2z99uxk3y6WyMebm5ESSJCMjI9u3b4fjgLl9Z/jV3ss8334RUZ7nTHzp938Y+2K8NTL3qEaWrbVKKWvtwYMHT5w4UavVluiWjGYmnpl9ZIg18z8nJjWzZv7b3+99cOaXzNSMG3FU+/GPfpjWZplN2/arPXpLU5PTTNyoN5nmIZ7p7cbHx5l5CXpr2GhuJul8w8gcJfGXUa2eJrHKmSlXGWul04TZqLjeFv2Z3bQlgYV9lQDJiKJ6a6KNNRKQrgtmEOCINE2DIJByfs1YMo58kQm55b1mR0cZAspYa00QBK2t2vf9PE0Lvieka1WWZ1mxUlmCBwJgCGbSZB3pkDVSOJASADMsswRYCAfIlQp9n8FCAKQhHWgNt9AKbLSSriulIAAghhAQrSBaa0AUWvsrE6TI0zQIQ50rLwjYWjFva/Hk1SdOVkKCWEjhEgQBOlde4M+jW0gASilich3vcfIYkEJACAEQIBwHQK4yEOVZCjAkwIhrTQCu51lrATTiCIAAMywAIeD7vu97RMiyHFIAFAQBAC/wARbSAYOUtlkObSEEiElpVgRASAeAFNJYFcdxM24K6YGRZNpYsIDwfFdr4/oeaUtECz36M0WTfM+3rEt+kKRp4EJbBH5RaSI2QcFvJokfeErphemdd4grPdd1mYW1WsBaoqeNKaUkIsdxrLWOdIMgsNbmKgdkoeCpPCMJEFhAOl6hUNAGKk2CYkkpJZj/BW/pNHdqCi4SAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x21 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-61.9247, -67.6577, -83.1965,  ..., -85.7837, -88.9033, -82.7425]],\n",
      "\n",
      "        [[ 15.5285, -17.2689, -54.6872,  ..., -65.8623, -92.9707, -89.1307]],\n",
      "\n",
      "        [[ -5.5559, -38.5744, -52.5755,  ..., -74.2855, -76.0228, -80.4508]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -8.2119, -25.8973, -54.8553,  ..., -74.4770, -55.5458, -50.2366]],\n",
      "\n",
      "        [[ 40.9541,  13.4812,  -3.4421,  ..., -23.2914,  -4.8319,  -5.4487]],\n",
      "\n",
      "        [[ 12.0912,  -0.4715, -14.4347,  ..., -31.2528, -21.9525, -22.3042]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "《成“续\n",
      "《成“续\n",
      "0.05669808387756348\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=51x19 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-6.0513e+01, -7.0131e+01, -9.8266e+01,  ..., -1.1411e+02,\n",
      "          -9.8728e+01, -9.7567e+01]],\n",
      "\n",
      "        [[ 3.0356e+01, -5.5397e-02, -2.4428e+01,  ..., -4.0498e+01,\n",
      "          -5.7786e+01, -6.3862e+01]],\n",
      "\n",
      "        [[-1.7682e+00, -3.4871e+01, -5.3475e+01,  ..., -8.1428e+01,\n",
      "          -7.3664e+01, -8.4934e+01]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[-1.5195e+01, -3.7655e+01, -6.0464e+01,  ..., -8.8969e+01,\n",
      "          -6.8784e+01, -6.8400e+01]],\n",
      "\n",
      "        [[ 1.7788e+01, -1.5635e+01, -2.6627e+01,  ..., -5.5604e+01,\n",
      "          -3.9484e+01, -3.7793e+01]],\n",
      "\n",
      "        [[-3.2751e+01, -4.9716e+01, -6.3101e+01,  ..., -8.3336e+01,\n",
      "          -7.4276e+01, -7.0498e+01]]], grad_fn=<ViewBackward>)\n",
      "-日期\n",
      "日期\n",
      "0.07984590530395508\n"
     ]
    },
    {
     "data": {
      "image/png": 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mTZJaMsIASCWl1GbOOxqfdzesEzLkzAKI79dTqSwjJFYSIFu2bb/vG9/8YPfuGTNmpGznhhuvf+yXj1z+uc9MmDL51PnzDYG2bQshCGgqlQKg/wz4BBZ3KSeU0htuuGHy5Mnlcvntnjd7eno6Ozvb29u7T5511TXXGH8tpKCMB344c9bJl10+Ll+TJmkpIZUUYubMmcVicayrnCdCGLXi+34qlVJK9fb2dnV1NZg8iiJKqcGquZx55icWLTwtisJ6vZ7J5SBjMK6SmBCiNBVaOZYbRTHjtnG/FIvFUqmUTqeNIuMgY75PDUBDSNiOPTg8Uq9W9u77sGPCBEBRxkAYAN8PHMfp6Og477zzrrjiikzG+853vvfXX/2KQ9nb63p2bN4CQsEplEylU4nGpKlTPNcD8PabPXO7u13X9Rx3+/btv1+zZv6CBdlCC4A4ltzmgDbL/v7+/jAKOecpLwWAgEgpLW41dhYGB0b8aolS2vfBnoMHBt7ZsKFvYOSGm1aecOIMATDGLIctWrTo9ddfLxRykyZNmjx5MqV08eLFbS3FtrZ2aI04huNYTeqDAvQYjvxjFOMm6O3t3blz57Rp04Ig8DwvkTKVcqSGX69PmTJlyZIlV191FQh+8M//fOcddziZzHvvrFvz6qvGoROJxLbTUqN9wgTLckUcSRWPlgY/ee6FjFMd2b968vHl1y21WRoKICgWWupBnXn2gQMHPvrgIwK0t7XTcYNFxLGbSkEjljJXyEdxsvODPZOmTNm1dXNYr767YWOtHl2y5NMzZ88BUK36Qully5a/+UaP49pd7a1dXV0TJkxYuHAhgerq6gJQrVazxSJzHPafeiCPVd59992hoaGGh9hsnzmOU/fjto7O5SuuOv+cs4v5zL8/9NBNN94A1/rdi6sHSyOMMQHUfD+VTVUDmU05CxcuEEGdc97a2rp//8ELL7ywWqkNDw+vXr36kiVL6jU/DMNia0scS9tmCnjrrbfCMGSExXHECHEtu1IpW4XCsfGZOuXD3XtKwwNvvvV24CdXLF02u/sUx+Gjo+Vzzzn/mWd/Xczn53afPHfePMbY6aefrrQ4//zzLdsRUvi+n8lkLG4BZNz//WfAhxKSSMRxfPnlly9btqxQyP/0xz+++eab0+n0yy+/vPn9jQDcVCqo1720B8BLpSX0pCnj8tXTM3d2t+u6jm1/+OGHaw4cmDtvXsekiUops6rwfd9oPUppqVQysmZWLrZtG+POOHqVUtV6PZvJasC27X379s6dO7fnjTdSnv3hhx+uXbv2rrvu6po8jQGBH4JRSiGE5Ed51g9bECqMOX0zmcyvnnpy8eLFYw8oMVaQMR9aW1u3bNlSKpV6e3t7enq2btucT6Wnnzh1yYUXAQjKo04288+rVu092L+nd/sPvv/g4488KqPQr88iGrNnzeru7m5vn8Bc16xOlVKcsLpfbyu0PPrGowN9fSnHlUrKJDHu7pTjlsuVXbt23X///VOmTKGEUyJTDC+88MLlVyyfPH26ZXmF9jatMFquZrNZpTBndvdLL720b+/eQj6f8ry2lpbOCy7wctkxW85xAJi9VTQhQjQMnR+jZIzv/fXXX583bx4Az/OEEIzzkaqfzaYymUwdeOeddwb6+rZsen/L5s17P/hgtFI5df6pZ599tl+rOSnPsZ0Hf7BqYLjyZs/af1n14P/51VORX1s8/9ShgVKxULB5snT5ZRCqVvczeQdSE0pcL62hd+3aFdSCWr2mk6RYKEIplQhucQCbtm6944tfXHTG6aB0YGiks5hTteErPvuplmIr407HxCmm89lMKkqwYMH8b977jTlzu1vz2T179lx77TWFQi6Vzxofc7ZYBKDiWBNqNkT/KMlZu3btCSeckEqljNQxxnzfd1MpN2WD0r6+vh/96Ee1kaFf/erJN19bY1n8lFNOnXPqqZVqWYCls5mKHz2w6n8mQX3Huje//4/3//KXv2xtb58yeeobr/9+1sndU6dObWlvk7FIp1NeOlUerWcy6UotzGTcffv2CRlLLQkhrmVrKXOFQuIHluscjc+EYi6pDV6/Yumck7tBWKrQCoBqFPL5WbO7f/viCwMDA6XS8IEDBz796SXTZswc7j8ghLBshzOey+bGhEUpcvz1zh+Lj1+P3JTjuq7W+pFHHtmwYcPvf7dm27Zto6Oj8+fPv/TiiwDEYeil04A6cPDAvz/x/+7tO7hnR+8Pvv/9xx95VEaRX60RYNbMmbNmzWrv6DDbKZRSrXUYx8a8iqIojuPe3t7BwcFqtZrL5Rpb0Q13r5QyjuNzzjn/jLPOMn4WDlx++WWOXZgzZ87ixYu7Jk8RcRzEUTadM3tDcRy7nncEpWOaxRgsxglLCBzbHhoa+uynLlYipARgtkwSZtnGapBSdnR03H777a5r/dM/PXjLrTd3trb+5Gc/LhQKkMLLFwDcddddCegD3/3OxIkTL7roopdefGHTpk2e4z77zDO33357Z9dkGYZSwk55rmspIJ1KDwz1xWF43333/fsv/tcNK1fanGtCXNv2w7CYyy1cuOCpx59QBJyQr/71f/nbb/396t8+X2hpYa4LRQDEQhUKWQDvb966aeP7/f395dHh/Xv3vrrmlaH9+22LFgv5KZOnTpoyeVLXRMuxvUy+Wa3QccuFAlo33HNHFrNX5/v+4sWLzXokjmOX82w2lUhYDLZtu6775b/6S0j5ox/+8Au3304IefypJ9pbW1OZjALK9fJffeW/1ELxgx/8aNKkEy785EWvv/7bV363OmVlyuXSLbddPaN7pqyrTLYVOvHjOOWmK+W6ZiIOwls/f8uLzz9/7YqroBQIo7atlSRAd3f3y6+8EmtFOf/7b9//lTv/4t01L+QmTsyBAQxgKpGUM6Wwb9/+np6eGSeetG/v/p07dmzftulb3/xmLp+dOfNEz/M6uybNnDnTy2bjOHYz2T9WbADU63UzIfm+n8/nAdi2rYBEorWlbc/uD+//9jepxuIFp61YfiUc+ycPPrhowQInm0tARoPISzlf/5uvlQZHnv5f3smnnLpixYpnn322t7e3Wq32vLV2yZIll0z9DAAF1OthPp9WBLVaLZ11RRzfeuvnn3riyRuuvQ4AYaw0MFhsbz82Pl+8fdObr7iFoqjUuJsy802pNLp3/8EPPto7ODziV2sDAwNbNm4YGh50HWfx4oVDo6U58+ZNn36iWVkQQixu/yFrnz8EHwCO48SxbGtr27x58wMP/BOAh/7t35YvX57JZB5++OFMJgOlbNeF1pXRkYldE+/80l0SeOC73x2Xrxc3bdrkue6zzzxz2223tU+cqOM4imM3m8lmswoYHR0tFAqO4ziOUy6Xb7755mefffaaa64xLh4hhFLK9IQQkkql1qxZwyxKCR544IGrly3bt2/vgsWfaFARhmE2lzM7MInQqZR39Gx8pBNbCMU5FUKfc845PT09ixYvhIgAUEqllFKDc6aU2rVr1wMPPLBx48YkSd55dx3XCKL6ymuvE0JwxqrVipVtVVIXi0XKeD6f7+jo+OR551iMlUul2XPmgDHGGdMEQL0eEk5Srv3EY//7wvMvyHipzvaOjz74YNrkqdy2AXBKAcRB5LpOFISg1hlnnOGmPMtzmesCCKLI8TwAYZi4rjVvTvdpc7uF0DYn77zz7rLLL5s7d86WzRv7+/sWLlrU0t4B4Gi7hDb9Pn5hFATBggUL1q5de/bZZxvlopQKIuF4NoA4jmu12g+/v2rt22+VS6W1b7wpodO5zLLly+Mk5padTWcFVBD6WmuL06nTZny4b+OVly8p2F379340eaqnZIXZHVAAJynPGRkuF4r5nz70r2edeebkrolKiL6DBzsnTkzqvpVKEcbiOPbjxMuk4zjZ99H+XGuL7bm5XA4AkhhKw87GYeim03GkujonXnf9ilo1SnvOO+vXXrXiyrknz965q3fTpo0XX3xxutBimMDNZACUS6X8+Ir9DyynnHLKjh07zj//fDP9KqU4536cEMsK43ikPPrAA9/fuO6t8sjw8//f0xrKzNv1alValud5MeBHurW9RUqJJOzo6CgUCstXXE0I2bR56xlnnFEtV7L5HIBKpeKlXQCdE9p+8tN/u+SSS4qFguc4B/bv62zv4LZdbG8XYcg99xj4uK7nOADhuYJxC1aGR4otLflCYXZ39ycvvDDlWW++3rP0issmT+oc6OvbvOX9FStWcMseM+kBAEmSaK0/xiX3h+MTxrFt2YQxKUStVvvZz/71lVdeKQ0P/frXv85kMq7r3nLzTVprLQTl3FgfjuVEShwmX+eeZzFWK1emzzgRShHGzCBKKaMkKRQKJrbzhz/84YwZM6ZPn75p06a+vr7JkydjfB1keqi19jwPGpVaAC2SJJk+ffrLL7907vnniihMksTLZDO5HAClNGOUUOhjCcwhzWLCY1yXCgFotWjRol89+Vjk15xUGhCEuoxQApjog0svvfQzn/kMY/jFLx65ceX1DqUmOk0lQVKvZ7P5AKj5fhBF1Vq1VCqNjIyYJRyAWqViWy6xLRMRm067APoPHhBx3N3dLZNkyZIlP/3pT7/4pS8H9bqXTtu2HdR8L50SceJ57s9+/K/nf/KcXbt2lSplkcTcsrltx3HMLdv48yhFpVK/5+67p06e+NBDD335ri++8OvnVlyzovfNXactWGhe8et1zmzLso6w9sdDxI5b4jjOZrOzZ89+7LHH0HB2aOV5tlCgFIyxhQsXXn/9dQBefOaZT112eVyvCZGkcjkAw5VyPpf1Az+XzyVSUoq9H+17/Y1Xzzp9/shAxeJu15QugEHTUn+lOMkFdLGQr9WSOAjPO+eckeGh66+7ftUDD3zhC19IZXJIEnBOKc1k0vsHB4vt7S+u/u1Nt94yMjIwWi4BCpYFUMRj7gDbo9AolYJvf/sfHIs99eTjX77rzt8+/8LSZVcePHiw4TJQShkcjD/7jyrnnXfeU089tXLlStd1jcsQAKU0Fkhl3HPPPffGa5Yxgsf//eFrb75pnPMkpzwBG/FDnnIJI+VyzbZtMBaGYb1e11IOj466ruuH4YTOib4fuCmvq6tjaKTS0pIbGq6WSqU5s+e43F56xRXf+e/3/+03v+lXKqlsnts2lD4an9LIQK1cQVCFlwGzIESupQVAJDTn5C+//JW2tuJzzz37hb+4tVYdvewzn927f38YxzaQJBJAOpUGYFnW8QK1/y/wqdUCTUg24y5ZsmTZsmV33PGFX/z857fccovWulQqOZ4HpQghURA4nqsAE3h1tHxJKcO673kea9p4dhzHBM6Mjo5GUbR8+XIAn/70p7/3ve995StfSafTjaHXWgshmGUByGS8n/7kJ3fccceuXbsKhQKgCSFeJlsrj2byLbV6jVPb9kxYs7CO2mg/zJxTgNIQQtk2S6fTl1566datW6ElQEGIEMIop2w2dd555zEGIXRbWxtjdGSkNDQ8BK2pZVuWJWUSxHEum67X6//xH/8xZcqU9evXP/roo+vXr9++fXsYhsR1wVgSjEUNDQ0NP/HEE//17q8RrZllEca6Jkz4xf/zkJdKQ0NFsZdORXWf29bW9zdNmzJldvccwlgjmlBK+ezzv44i0SAkl0t3dnZ+4xvfuOfuu2/5/OeLxWJXV1e5Wi22thrUUumM7bqH1IoGNKgG1WPXxytGtWez2U996lPr168Pw1AIQcfTHcIoSqU8o1bqIyNUA4TY2WyqWPQrFQBmKz3tpaM4rNf8Z55+1bZcEPnEk4/3bt/9/nubK9WBKB6BRrEtJ5KgHo4Sgocf/vl1111nU97W2gagu7v7maefHtvUlBJAEEZt7e29e3YXW1pGRkeHSyXXdSEF/Ho0PLz6N79hY0YvogiFgmfb9re+9a2vf/3rl1xyydSpU0866SQppVIqCQIA1LZlFIk4Zn+kexKA67pnnnnmzp07q9VqYz7nnFEKznHttcvCMAbQUihACF0tA8oET4VRaDzcQTwWPfDEL3/p1yq7d+9etWrV7t27h4aGlFLQcF13ZKQMIJ/PRaF+8cUXv/Zf7854qcCvM8ouvvjiX/7859S4JIU4Jj4jpRIhCl4aoBDizVfWQAitQSkZHfUnTZ3y3++//6abbvrc5z43c+bMxaef7oehbdu2ZadTaaNWACRJ8seCc3x8eCbjpdOuUnrFiuUmwL+jo8PEQLW0tCghTBSZ4zhQMpFJlES5dO5o+dq8ebOUkqVSY4HUSpldZxO99uSTT1511VW1Ws1snM+bN2/16tUmwM/4Wcz+PYAgiLds2V4sFltaWnzfj+MYIMx2glr1xRdfBJBJZ1zXCYIwDJNDW8xNhZo/AlACSqBipFzq131K6ZVLVxw8OPDSb142pk0UxoSAEEKBXC5DAcbJyNAQ0WhpLba1toEQEUXgnDE7ZVs7tm3za7XPr7xpcHBw5cqVf3PvN65euXLWyXMs2wMBNLE8F0B//8Arr7xywQUXjAyNpPN5EcciDK9csaK3t/f1134PKaljizBy0qmd27Zv3LTpvPPPAcHo6Khje47rxYnQWu/cudNzOQg4hRQiDhPHsZRSlUplcGios7MznckmsbC4pbXJZ6DQWjeSJsjRhsqxdYxlWeVy2XXdK6+8cvv27Rvfe58zroQkGpwi5ThxnABQQqaLxXoYII5MdHMqlwujkAJhHCZJ9MHuPbmMd+ml57cUc5/4xOn33nPfsms/N/Pkk4Sgjt0GAhGCW17azT/62ONz586Z0N5uBmt0ZGTJZz+7bfv2V196CZYlx3bl2c7e3jdeffWapcund3YWstlypQbmIpVxMrmtO7aDUalgczguSqXajJknxHE8ODiYzWb9IIBl+UHkZvOWbcskAcAch3OuhMDxCsEx8UmS5NZbb92yZcuGDRs45yKR0BCJVommCnQ8zHS0XAPnJJsFaBjHUknXcR1GiEZLylr71jrf95dfdU2u0LJs2bLvrlp15VXXdHZ2EkKllpSSlta81rAoHn3sl11dHUYY0qmsiOMzzzprw4YN+/bvR5KQ4+CTy2aTRAMMoDoI176zHpxLqS2KYjHVUsiJJInjmFJKmRWEQRzHjFkAFVIEYSCV1NBHB9Efhc8xypH4CAFACZFEcRSGnBCiIKKEapRKJRPVliQJ5Va1UkmiGJSWShWLOa5lbd+xxa/Vblp50+Dg0Mobb/qbe++9euXKk+d0256DJNZJBCVAqRFYAA8++ODcuXOnTZuWyWQYY7Va7fLLL1+9evXevXsBxHFshsa2bQr09R9Yv+6t6667lo5HwwNUJDGj1gcf7gMQRTEIPM/1XAtKH00vBzTGQ3EV4DhQBPl0SikllLro0s9qrYMg8VyeTqcOMRIF1QDB6MhQZbRULBZr9VomneGOGwa+63EdxfNnzz7pvr9jQLlUqtZ9qbF/9wdfu/fehx56CCBaSUKIH4Zbtm4+ccYJp85fAEDEcT0IjWfrimVLH3/yyT179lx2xRWFQuGNN96oVSqfu+KyVCZTq9XmL1z86P9+4pU1r2Uzud7e3gldXcODg63t7RQY6Ds4ZfKUVNoLk2juqfNmzDrpo/37/u6+by1YsKCvf6BzQidAzFYcZYctBhWBIsZ32ywzzdxD4jjO5/LGCF66fIUUOoiEbXMC+H5kpx1mW7VqPZNJl0dLH/UdhOs0GjGRxynbBeiC7u4F3d1xpHpe35CxWmNB9n/4wd99+5v/59lH675Oe+BZDA2Uduzacdppp8ydO8fkKwEotLQC+MznLnvuued69+y+YeVKz7K2vL/xQH/f9UuXpoE4iWdNmf7TnvU7dnzAbWvb1h2Tp07bvmP7rJNOJgRRHLe1ZUaG+x2bzps358STZvS89ea//M8fntw9Z3hwqLW9nTGTSOVgPG9Fj8V8mZ2zBg/JY+JjWZZWuGLpMillPQgZtYiGzYgIhWtxqkEcBwR79n4k45jZNkAyhRYAGtoG4QQKuPiMxRfOPyURSf9wee/BQYBu27L1f/zjd3/0k58wxkyYYhhFPT09p8ybvWjRIsZAgWq1ls1mAdz0+Vsee/yJrq6ua6+9NpvPA3h/w7vDo6Wbr746BYRROHvqif/63e++v3WXZVlbt+2YOnVq747tM086mRD4QUAh0ilr0cLTOjvaO9ra/vmBBydPnsooB8CZxdmYHXdYmtFR+By9TDLVLcvSWi9fulRKGQUBYwxac8Y5144QIFomCaNEKtnfN6CkNq5GBWTzBcOSxdY2Ba2ScP6sk418lUbK1XogNfbv2f23f3/fP33vfxS72iESMA7oJEwsx37hxRcuvvji6dOnm85orc1C7K677nr44YenTZt22223mVwKQsimTZvWrVt36y23mMotLS0bN21e+7V70pnU3g8+shxncHCovb3deIWFPHbykcklPvqnlVKJVLGQYaKjWB2ritZaD4xFTKvS6Ih5EMW+1sI8FUJorYMgMNWSJGlspBsHmNa6Xq+bOkenLhiXdePfJEniOG782/xK831TyuVy42YURc3tmJaFEFIeSg8y6WGmV0pLrYXWidZCa9FMsxDCPJZaR7HygySKtJRaKx2FwtQqjYwafMbB0YcDJ8z3K5WKeWYwaUDR6JWUslwum5vNtJiL/v5+rXWtVjNQHDhw4AgoDPi1Ws33/WbCtdaNO3EcSymr1WqpVGp8tFFzDA11KHlkvHF1PHzMQ8M5caIToaXUchzOejkI64FWeu+HHzSg0FrIsZ+SWhlsm0kzXRoZGTEXBhCt9dDQkKljiGoky5h3zbUhoV6vHzx48AgAj4mP1np0dLTBG0EQVCqVIyocUY7Gx5CQjF80KDpUpFRCKCG0lAY5GYVahM0w7tje2+C0sRbGH0qtpE4SncQykVrX/bivf1grnSRJtTaqdaJ1JGRN60RrFVbrWul6tdosI1JKs/7VWo9FihuRTxLdJLAmDtiAH4ahud63b18D5Ab5pmA8Y05rTbQ+wqY9ZNY0691jBJI12T9CJgA44wASEVnckhJKKSGE17TRbVxWhpsb980YN0ccJUkihDB5mQCklEKIRt63yXCP49j4FwcGBhoZd+l02kQZNM46ANBI6DRcZXIlmkODxohVyrZtk7euochhmBzl2NVj+IxlewMUSBJlcqmEkAC41ewbPjzXGQBYI5QAQL1eT6fTzegaTdfoGyFjseqN0FtDlwnVa36xEb7V/EhKWa/Xs9ns0VA3/xsEgYkB1+NhVA2UzIkBjdzoI7jjePg0/h1zYFGT8kLHTxg4bGpXTe1oKc3mbnMnTY5iFEWNETTFpMMYCytJksY6JRxPf2v+ijDnWhDyMfiUy+V8Pt/c1MeUo/FR47Q1v3ncVgwSevyAAkAJSTk/7CkawJiWtdSJ0FLF2nNTY+1r+GE95bmArvtlzrljp6EphALnjXdNFmWDqEbap+/7nPMjtrpqtZrruiZxsQF4Yw4+QroBGNEzNf9UzWLWga7nMGqOMlBaS0ZNGAUwrsNMTXOeiImOB1AqlbLZbMOUMrNTYz/CzBtmLwbjwa/jGRZjp6IYjCiljcUCxkWukaJuPhFFkTmo4hB1SqEpHPsozUKaAPjPJMec1SBByNj5GlKqMApMOvmhFw7D1RwdIAwsZqgMXxopMlNK4xpNSV8NYmu1WiaTEUIYEJpJa0bDRPc1D5150ag2MyIma8akmZiYHa3HouOPo1nwh+NDgSjQjmtSTlAuV/KFbN2vp1OH8WWzZvFrtUwm0zjwwUyPmUzGuB4bvVJKNc61aHC5MXWN51KNH9ljJlI2fvJAQ4SOwKehxUyeV+OcBKcpefWI8ufRLI3DXLROhAzDMJvNlkqlYqFp179JswBKARRUaWUObxFx7Lh2ENS9lEtBAWilCOFjcRSEGDuFEGKOa2nuQr1eB2DmtgZTmU0ljMfOaa1t2zY4N5Bs7I4Zfjtas/xn5ZhVmrSgyesJo5BSao85ilnT0yOH0xDQSOs+7FNN2vHo0jyNDA4OFgoFs/lnJtggCBqxho7jNBIljph2DOeZIwgaN4+jWY5cTJseaoVxG+KwEseJUsqcMCSVbGr/SM0iJUyCv+lbsx5phsJUMF9qyECzOYOmvI9m6BqmTaNlY+ebnH2TlmbobaQ1NgtPsyH5sZrlGPgcSa65IaEBSiGVYowqSEroUe6IwzRUEASWZTXrkeYLY3oYDWj46pgYAjAzECHEnOqEcev1ePgYP04DkOMdYtKM1Z+qWcbOZBGcc8O0zbPj0W8oANCmfanMRA6RxI2TT8YIj8ZOCKlVqplMRh/OsmbKP4KdmnOIjIo58tOHS9MRQt2sWf5/5LljP/n1wVIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=371x18 at 0x7FDA2C033A90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-105.8876,  -97.8484, -145.2606,  ..., -143.8408, -147.4784,\n",
      "          -133.8220]],\n",
      "\n",
      "        [[  11.1514,  -24.8693,  -55.9846,  ...,  -47.4477,  -99.8020,\n",
      "           -90.2472]],\n",
      "\n",
      "        [[  -9.7807,  -46.6612,  -82.4932,  ...,  -81.0524,  -92.8186,\n",
      "           -92.8594]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  -2.4945,  -33.5546,  -65.7088,  ...,  -92.2983,  -96.2313,\n",
      "           -86.9098]],\n",
      "\n",
      "        [[ -10.2904,  -38.0541,  -49.4812,  ...,  -70.1443,  -82.0357,\n",
      "           -62.7714]],\n",
      "\n",
      "        [[ -26.3539,  -25.2489,  -39.1486,  ...,  -65.0048,  -66.1216,\n",
      "           -45.0217]]], grad_fn=<ViewBackward>)\n",
      "-申请人无需--申请人无需|-申请人无需--申请人无/\n",
      "申请人无需--申请人无需|-申请人无需--申请人无/\n",
      "0.3177978992462158\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=195x29 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -63.2715,  -53.0131,  -55.8995,  ...,  -59.3232,  -58.0430,\n",
      "           -67.2513]],\n",
      "\n",
      "        [[  21.3945,   -8.6693,  -41.1045,  ...,  -45.0201,  -89.2225,\n",
      "           -77.7790]],\n",
      "\n",
      "        [[   3.0781,  -26.9652,  -59.0760,  ...,  -72.6993,  -83.2814,\n",
      "           -87.5133]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   5.9664,  -14.9360,  -40.8423,  ...,  -66.1894,  -55.3594,\n",
      "           -45.0142]],\n",
      "\n",
      "        [[  -8.5026,  -41.2056,  -61.4342,  ..., -100.4131,  -70.0923,\n",
      "           -57.5314]],\n",
      "\n",
      "        [[   0.8793,   -8.2764,  -10.0782,  ...,  -39.1139,  -13.6336,\n",
      "            -7.0985]]], grad_fn=<ViewBackward>)\n",
      "秀这-理论知识考试，雪”\n",
      "秀这-理论知识考试，雪”\n",
      "0.176133394241333\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=41x19 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -46.0642,  -43.4823,  -70.8406,  ...,  -74.9917,  -56.6290,\n",
      "           -73.1044]],\n",
      "\n",
      "        [[   5.0270,  -32.8834,  -75.3260,  ...,  -78.0014, -106.7759,\n",
      "          -116.9494]],\n",
      "\n",
      "        [[   7.5131,  -31.2263,  -76.5062,  ...,  -86.4927,  -99.6810,\n",
      "          -110.6903]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   4.3687,  -31.6309,  -72.5660,  ...,  -96.7708,  -82.4992,\n",
      "           -72.8528]],\n",
      "\n",
      "        [[  51.3992,   21.6654,    1.6183,  ...,  -21.7408,   -9.3433,\n",
      "            -2.9246]],\n",
      "\n",
      "        [[  16.6293,   14.9881,  -12.9034,  ...,  -37.4851,  -29.2351,\n",
      "           -19.2624]]], grad_fn=<ViewBackward>)\n",
      "填写-\n",
      "填写-\n",
      "0.08291316032409668\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAACoAAAATCAIAAABp1AhpAAAFgElEQVR4nIVUW2xVVRr+1tqXs8+tpRxKKVCMT+ppjDGNSk2G6CRa6Mzw1ApoJVEbUxu8ROCZqHEe5gESMw9KGE1EO4k688KMEmZSxfDAA8TSilVpC9SUXunpOfu+91rr92G3h1Oo8j+ty7++7/u/tf7FiCiOY8MwAAIAKCwHBwAwVINu3w59SlksySqXK/Xr8q7nZjNp1ISqwfEcJ5fL2bZtWZZhGI7jsLXoec3x2+lrgyQI4BxSKU3jCpIzXqNwjTJ83zcMQ9d1AET0G0xrBRGUIqWIVnQwDs4hxPLU87zfRwAQBIGu60opx3EYY3rtnloWe0vHKnUcjFZ0JhehAA6uA5wrQBIBUKQ4qz1Xg69UQ0NDIiKbzQLQVyfcxQCwlQQGEIQCT8yXinOez+UBENFvwRARESmlMpkMgDAMb5dpe64C/CgcGRlZxgJOnz5dLpdlHAMAAQSKYiiSUkLD7EKJaZwxxCJWpDSuVemqsMIPAGiaxhjTtOWEVCp1q3oFuH6QzWQdx83lsmfPnt26dWtdLmcYRj6fj6JIplILCwuFdQ26oUkldNM4d+6cZhqMsbPf3vBd98uv/vPYI4/88sv1M2fOHDx4sPfFF8HYyY8+2rdvn26lY883VjfF7eabpul6fjaXJWD+5mIs1fETJxYXFk6dOvXwQw892Frctm3b7t27oetMCAAXL1585tl9U1NTf9ixo2ljY9eerqyVDnxny5YtvS+9BABSPP/CC6/397/91jv1GzbceR2rzNc4d10fQBTFDQ0NmUymvb394ba2zp0729raSqWSpmnQNACaxmLfa9rc3NLSfOnSpbGxMSlV2koDsNKZ1w4cABgJAU1HHB87dqy/v3/N13Cr7xUwM79YaFwfBfHw8PCrB/pbW1v39zx34cKFnr17Gxsb//npJ52dnU1bmiEEdF1FQhkpL5RvvvGGpiPw/dLSzQfuuy+M/L+9+1chhGWaURRZ2ToAHx8/4QVB32uv/p75jY3rFTA+Pl5fX9/d3d3X1+e7ztGjR1UUFYvFK1eu1NXVAQARAG6aUiEMw2Kx+Er/y4auAck3otxKWdd1bpiWYUKIMAiKxeInAwN3Vr+KPgyFYeoPtN7vuwGAfD43evlyS0uLEOLHH0eJyHXdlKlzttz4jGF+fv7/g4M3F+c81zVT+uS1a4rEnzt2dnV1AZBRCMVS2ZymaUEQ3IUeijiDUrAs0/O8r/77ZRiGDfX1GzdtGvv5p0KhIKXkqTSgIIRSkhuppg2Ff33xma4zpaTv+7ls9sN/nNjxxB/TmXxlaalu3boE2LbtpNfXoE+eHwcyacO2Hcuyjn/w/tbNzX/5U+fo6Gjoe+3t7R0dHSdPnhwaHrn59Td79+7husmByyMjQ0NDmVxubGKiUqlMzUz39PRMz84xwxRgWspa/scIn//7i+f3779L9b7r1udzg4ODe7q7C4XCkSNHrl69aprmzMzM9u3be3t7JycnO3btSpLnZ2dzmfSujqfXb2xavrs4Jsa///6H5ubN169P3nvPNi8IuFJjY2NNmzY9+vjjd9KDiEQU0UqEYXjjxo3q1PO8vr6+Uqk0PT19+PDh8+fPJ+vT09PJB0qkRBQFQTA+Pn7xu+8GPvv8f19/40VxTFRxnFjKhbm5v7/3HilJStIdsYo+juNk4Ps+EU1MTAwMDHielyw6jnPo0KGquDAMA8eWYZA8SSnl5dHRJ596emp2LiYq2Y4kKpXLw0NDTqWSCF2bPlqhl1ImxFLKqMaSpaUlIrJtO5lWBwnmwtxc4tPEtWsxUcX3YqKIVNm2JZESQglBapXHa9NXRVQ9qG4tLi4mg2QlsaRcKpGUcRgm+iSRJAqkiIkW7YokUkoliCpcg5uIfgWcif+J7O8VwwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=42x19 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -58.3399,  -55.0107,  -85.1023,  ..., -100.6347,  -79.7874,\n",
      "           -87.5799]],\n",
      "\n",
      "        [[  12.8445,  -11.8183,  -32.7956,  ...,  -40.0562,  -60.0184,\n",
      "           -74.6208]],\n",
      "\n",
      "        [[   5.0144,  -31.1218,  -46.3174,  ...,  -65.6627,  -63.1651,\n",
      "           -86.1004]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  17.1588,  -12.8483,  -45.9230,  ...,  -64.5072,  -41.2217,\n",
      "           -42.7692]],\n",
      "\n",
      "        [[  42.2582,   12.8430,   -5.5173,  ...,  -32.5435,   -8.9524,\n",
      "           -12.2990]],\n",
      "\n",
      "        [[  14.0774,   13.8146,  -12.5445,  ...,  -42.1252,  -21.8521,\n",
      "           -22.7207]]], grad_fn=<ViewBackward>)\n",
      "-填写)\n",
      "填写)\n",
      "0.06021404266357422\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=51x16 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-109.8201, -116.1962, -125.6548,  ..., -167.4258, -153.7664,\n",
      "          -157.6572]],\n",
      "\n",
      "        [[  13.5764,  -18.6196,  -54.7257,  ...,  -84.0688, -107.4880,\n",
      "          -114.0674]],\n",
      "\n",
      "        [[   3.3654,  -33.5149,  -55.0285,  ...,  -94.9807, -106.8778,\n",
      "          -107.2650]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  13.2308,  -12.6405,  -40.1944,  ...,  -36.5106,  -40.5032,\n",
      "           -40.2071]],\n",
      "\n",
      "        [[  26.7665,   -0.1728,  -25.5684,  ...,  -47.6201,  -32.7355,\n",
      "           -33.5851]],\n",
      "\n",
      "        [[  -4.8041,  -11.9273,  -27.4199,  ...,  -57.3642,  -45.2279,\n",
      "           -35.8526]]], grad_fn=<ViewBackward>)\n",
      "》需慎写，\n",
      "》需慎写，\n",
      "0.0930643081665039\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=31x19 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-35.7245, -26.9747, -65.6642,  ..., -46.2056, -60.1800, -50.7413]],\n",
      "\n",
      "        [[ 14.4334, -12.9421, -41.3689,  ..., -32.8059, -65.0285, -77.1728]],\n",
      "\n",
      "        [[ 12.2088, -22.8837, -58.7234,  ..., -58.9125, -73.3596, -79.8427]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 46.8604,   1.2497, -51.2007,  ..., -51.3450, -56.8474, -45.2826]],\n",
      "\n",
      "        [[ 47.9569,   7.3621, -29.3660,  ..., -31.9545, -35.2637, -27.9846]],\n",
      "\n",
      "        [[ 12.3882,  -0.1790, -24.1745,  ..., -17.4266, -23.7811, -23.4974]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "记录\n",
      "记录\n",
      "0.18515419960021973\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=360x17 at 0x7FDA2C033A90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-102.9876,  -96.3874, -130.3423,  ..., -136.7029, -142.2737,\n",
      "          -128.4530]],\n",
      "\n",
      "        [[   4.0733,  -34.7601,  -55.9292,  ...,  -55.8425, -106.6513,\n",
      "           -99.9547]],\n",
      "\n",
      "        [[ -15.1111,  -56.3055,  -84.7859,  ...,  -97.0110, -104.7572,\n",
      "          -105.4777]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   3.7817,  -47.4354,  -82.4748,  ...,  -92.6935,  -99.4708,\n",
      "           -71.9713]],\n",
      "\n",
      "        [[  -5.2493,  -53.1208,  -89.7057,  ...,  -84.7800, -101.0136,\n",
      "           -68.8680]],\n",
      "\n",
      "        [[  -9.3215,  -18.8980,  -27.7610,  ...,  -30.9774,  -42.1915,\n",
      "           -30.8433]]], grad_fn=<ViewBackward>)\n",
      "-申请人无需|-申请人无需--申请人无需|-申请人无需\n",
      "申请人无需|-申请人无需--申请人无需|-申请人无需\n",
      "0.6181612014770508\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=134x27 at 0x7FDA2C033A90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -79.9423,  -78.8081,  -94.1392,  ..., -121.7836, -117.6230,\n",
      "          -115.2926]],\n",
      "\n",
      "        [[  19.6822,  -12.9565,  -57.2848,  ...,  -70.1285, -102.0159,\n",
      "          -100.7530]],\n",
      "\n",
      "        [[  14.8626,  -25.4762,  -46.4940,  ...,  -65.2404,  -78.0865,\n",
      "           -76.0651]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   7.3059,  -36.2467,  -63.2813,  ...,  -61.4977,  -69.8848,\n",
      "           -46.0626]],\n",
      "\n",
      "        [[  50.7960,    9.7244,    3.1014,  ...,    4.4079,  -11.5750,\n",
      "             8.4825]],\n",
      "\n",
      "        [[   4.5759,   -9.9164,  -10.3525,  ...,   -1.7215,  -12.8404,\n",
      "           -10.8460]]], grad_fn=<ViewBackward>)\n",
      "|示范数学考试-雪\n",
      "|示范数学考试-雪\n",
      "0.09189915657043457\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=31x14 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-6.1472e+01, -6.2830e+01, -9.4580e+01,  ..., -1.0886e+02,\n",
      "          -8.8399e+01, -9.9193e+01]],\n",
      "\n",
      "        [[ 8.7054e+00, -1.6854e+01, -3.3589e+01,  ..., -4.1608e+01,\n",
      "          -5.7148e+01, -7.9393e+01]],\n",
      "\n",
      "        [[ 5.6704e+00, -3.1906e+01, -5.1917e+01,  ..., -7.3532e+01,\n",
      "          -6.5525e+01, -9.1632e+01]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 4.9805e+01,  3.8559e+01,  3.3936e+01,  ...,  6.0141e+01,\n",
      "           3.4904e+01,  2.0783e+01]],\n",
      "\n",
      "        [[ 5.7051e+01,  2.6195e+01,  2.0683e+01,  ...,  4.6756e+01,\n",
      "           1.6203e+01,  1.7699e+01]],\n",
      "\n",
      "        [[ 3.5522e+01,  3.4436e+00,  1.3668e-02,  ...,  2.3510e+01,\n",
      "          -1.0849e+01, -1.3204e+01]]], grad_fn=<ViewBackward>)\n",
      "-填写\n",
      "填写\n",
      "0.050778865814208984\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=42x16 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-5.3192e+01, -5.3814e+01, -9.2505e+01,  ..., -1.0507e+02,\n",
      "          -8.5751e+01, -8.7811e+01]],\n",
      "\n",
      "        [[ 1.8136e+01, -8.5018e+00, -3.3705e+01,  ..., -4.1233e+01,\n",
      "          -5.8151e+01, -7.3633e+01]],\n",
      "\n",
      "        [[ 7.3416e-02, -3.9030e+01, -5.6968e+01,  ..., -7.8792e+01,\n",
      "          -7.1510e+01, -9.3587e+01]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 2.5165e+01, -5.9395e+00, -4.2987e+01,  ..., -6.3287e+01,\n",
      "          -5.3581e+01, -4.0840e+01]],\n",
      "\n",
      "        [[ 6.5333e+01,  3.5617e+01,  2.1436e+01,  ..., -8.0693e-02,\n",
      "           8.5412e+00,  1.2994e+01]],\n",
      "\n",
      "        [[ 4.2382e+01,  3.8865e+01,  1.7483e+01,  ..., -2.2141e+00,\n",
      "           1.2757e+00,  4.7800e+00]]], grad_fn=<ViewBackward>)\n",
      "-填写-\n",
      "填写-\n",
      "0.07503962516784668\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=31x15 at 0x7FDA2C033AC8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -53.6516,  -50.9826,  -78.7551,  ...,  -84.0556,  -55.1278,\n",
      "           -75.7040]],\n",
      "\n",
      "        [[   2.4800,  -38.1449,  -82.3441,  ...,  -90.7716, -115.9118,\n",
      "          -127.5141]],\n",
      "\n",
      "        [[ -26.8206,  -74.5402, -129.6451,  ..., -137.7147, -152.4515,\n",
      "          -152.2089]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  17.2014,   -4.6549,  -33.4758,  ...,  -70.9316,  -47.6719,\n",
      "           -50.5875]],\n",
      "\n",
      "        [[  58.6687,   30.8387,   13.0135,  ...,  -26.5748,   -4.9053,\n",
      "            -1.3370]],\n",
      "\n",
      "        [[  17.5373,   17.4186,   -4.9702,  ...,  -39.5840,  -17.0517,\n",
      "           -14.9400]]], grad_fn=<ViewBackward>)\n",
      "缜写}\n",
      "缜写}\n",
      "0.05212664604187012\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x21 at 0x7FDA2C033AC8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-42.5474, -37.4678, -44.8460,  ..., -67.8220, -41.2191, -44.7981]],\n",
      "\n",
      "        [[ 32.4365,  -2.4445, -33.5413,  ..., -48.5488, -68.1601, -74.3485]],\n",
      "\n",
      "        [[ 30.5086, -10.5230, -44.6468,  ..., -72.7294, -61.4426, -68.8230]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 21.7331,  -2.4397,  -9.8880,  ..., -19.9382, -26.3955, -25.7049]],\n",
      "\n",
      "        [[ 31.4590,   8.5523, -13.3609,  ..., -35.8355, -18.0791, -27.2282]],\n",
      "\n",
      "        [[ -6.3075, -36.2500, -62.6558,  ..., -88.9775, -74.3785, -66.9275]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "交通主管\n",
      "交通主管\n",
      "0.07902193069458008\n"
     ]
    },
    {
     "data": {
      "image/png": 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RQ6Qi4DmYd8PHsuv8NlN0/d3xu0R8pb4XXx5pDOrvr7TcGBz0/N+//3/k99oK/LtZv/hNRfrSO/idzwQdvx+1P8hNRfrfh/xBfkv+B1C0f9q48icBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x19 at 0x7FDA2C033AC8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -51.5603,  -48.9495,  -86.5046,  ...,  -89.6376, -100.7042,\n",
      "           -77.1763]],\n",
      "\n",
      "        [[  42.2065,    8.7504,  -36.6755,  ...,  -40.7835,  -82.6599,\n",
      "           -69.6413]],\n",
      "\n",
      "        [[  22.6889,  -27.2174,  -58.1706,  ...,  -72.5578,  -95.1149,\n",
      "           -82.9861]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  39.6232,   16.8323,  -18.6898,  ...,  -37.5537,  -21.1571,\n",
      "           -15.7514]],\n",
      "\n",
      "        [[  33.3219,    7.7884,  -18.9912,  ...,  -48.3117,  -35.9150,\n",
      "           -32.2264]],\n",
      "\n",
      "        [[  19.4059,   24.9073,  -12.1932,  ...,  -40.7310,  -25.2865,\n",
      "           -22.0084]]], grad_fn=<ViewBackward>)\n",
      "-申该人无需填写)\n",
      "申该人无需填写)\n",
      "0.13014888763427734\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x18 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-56.1062, -54.3450, -80.1202,  ..., -77.1367, -72.4243, -56.5407]],\n",
      "\n",
      "        [[ 33.4140,  -1.2315, -28.3511,  ..., -26.2044, -73.5486, -69.8802]],\n",
      "\n",
      "        [[ 28.3765,  -8.9180, -49.3219,  ..., -50.6040, -59.5274, -66.5193]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ -0.7880, -25.9810, -60.7764,  ..., -86.4050, -69.8871, -64.2238]],\n",
      "\n",
      "        [[ 36.8231,  10.3806,  -8.9428,  ..., -37.9140, -15.5039, -13.8418]],\n",
      "\n",
      "        [[-18.3530, -44.1395, -66.3108,  ..., -89.5319, -72.4296, -63.6717]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "部门恋见\n",
      "部门恋见\n",
      "0.1020498275756836\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x17 at 0x7FDA2C0339E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -83.6865,  -85.7595, -104.9371,  ..., -131.8806, -126.9528,\n",
      "          -118.6532]],\n",
      "\n",
      "        [[  16.8249,  -12.4253,  -51.1591,  ...,  -63.8555,  -88.6306,\n",
      "           -89.4429]],\n",
      "\n",
      "        [[  17.2971,  -23.3506,  -41.0277,  ...,  -64.4652,  -84.3877,\n",
      "           -77.6471]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  -8.9532,  -32.8772,  -58.3131,  ...,  -82.4159,  -75.4752,\n",
      "           -63.9101]],\n",
      "\n",
      "        [[  22.9813,   -5.9676,  -13.9647,  ...,  -44.7069,  -44.8696,\n",
      "           -28.5003]],\n",
      "\n",
      "        [[ -15.3190,  -19.8784,  -28.2981,  ...,  -53.6465,  -56.7884,\n",
      "           -38.3898]]], grad_fn=<ViewBackward>)\n",
      "|-申请人无需填/\n",
      "|-申请人无需填/\n",
      "0.15836524963378906\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x18 at 0x7FDA2C0339E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -60.8916,  -68.2799, -100.9211,  ..., -125.8852,  -99.4940,\n",
      "          -107.7386]],\n",
      "\n",
      "        [[  27.1851,   -6.8301,  -43.7297,  ...,  -54.3165,  -76.9425,\n",
      "           -84.0625]],\n",
      "\n",
      "        [[  -5.0508,  -41.7090,  -64.2752,  ...,  -86.3947,  -81.1808,\n",
      "           -98.0163]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  62.6906,   36.4766,   21.5383,  ...,    1.8668,    5.5732,\n",
      "            10.4787]],\n",
      "\n",
      "        [[  35.1250,   10.6472,  -13.8359,  ...,  -32.1519,  -33.2061,\n",
      "           -23.1267]],\n",
      "\n",
      "        [[  27.4797,    1.5727,  -24.5258,  ...,  -39.6274,  -39.6020,\n",
      "           -27.2302]]], grad_fn=<ViewBackward>)\n",
      "-发放人-签字-\n",
      "发放人-签字-\n",
      "0.2361903190612793\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=154x18 at 0x7FDA2C033B70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -72.3644,  -79.9914, -113.2038,  ..., -122.8076, -104.0171,\n",
      "          -105.5173]],\n",
      "\n",
      "        [[  24.5819,   -4.5922,  -36.5619,  ...,  -45.3594,  -70.5629,\n",
      "           -72.3825]],\n",
      "\n",
      "        [[  -1.1776,  -37.2471,  -58.7415,  ...,  -79.9562,  -74.4850,\n",
      "           -87.2029]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  30.4464,    8.3192,  -17.6373,  ...,  -45.0374,  -29.4774,\n",
      "           -30.4553]],\n",
      "\n",
      "        [[  36.3785,    8.5970,  -21.6386,  ...,  -55.3067,  -47.0815,\n",
      "           -32.2589]],\n",
      "\n",
      "        [[  47.1913,   48.1043,    9.2327,  ...,  -16.5868,   -9.3809,\n",
      "            12.4364]]], grad_fn=<ViewBackward>)\n",
      "-日期-申谛人无需填写)\n",
      "日期-申谛人无需填写)\n",
      "0.13685131072998047\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=72x21 at 0x7FDA2C0339E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -58.4641,  -56.0228,  -70.2842,  ...,  -88.6643,  -83.3294,\n",
      "           -89.5740]],\n",
      "\n",
      "        [[  30.7767,   -0.4929,  -27.7667,  ...,  -46.8098,  -70.5383,\n",
      "           -85.1506]],\n",
      "\n",
      "        [[  -9.2841,  -38.1061,  -59.0249,  ...,  -84.0294,  -96.4253,\n",
      "          -108.3847]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  22.5289,   -4.0773,  -44.8742,  ...,  -39.4375,  -48.5721,\n",
      "           -30.3604]],\n",
      "\n",
      "        [[  40.2558,    9.9085,  -14.4920,  ...,  -25.6242,  -20.4953,\n",
      "           -16.3431]],\n",
      "\n",
      "        [[  10.6773,  -26.5024,  -42.6926,  ...,  -69.1253,  -58.7198,\n",
      "           -52.4773]]], grad_fn=<ViewBackward>)\n",
      "，从业茨格\n",
      "，从业茨格\n",
      "0.15052247047424316\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=21x20 at 0x7FDA2C033B38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-11.9065, -12.6328, -27.6373,  ...,  -6.2706, -18.2774, -38.3149]],\n",
      "\n",
      "        [[ 55.9122,  17.7100, -15.6111,  ...,   6.0857, -42.3058, -42.0969]],\n",
      "\n",
      "        [[  8.9587, -33.4051, -61.7436,  ..., -58.5932, -80.8934, -86.4964]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 34.2750,   6.9198, -37.3800,  ..., -43.9631, -41.8371, -23.0469]],\n",
      "\n",
      "        [[ 12.8824, -19.1556, -50.2777,  ..., -64.6750, -66.5668, -49.5651]],\n",
      "\n",
      "        [[  5.0481,   0.9351, -22.2006,  ..., -34.9287, -36.8503, -30.1120]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "写)\n",
      "写)\n",
      "0.0436098575592041\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=62x21 at 0x7FDA2C0339E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[-57.1710, -50.3734, -79.5320,  ..., -71.9189, -70.6301, -52.3548]],\n",
      "\n",
      "        [[ 19.9011,  -9.1590, -58.0656,  ..., -62.6552, -91.7163, -90.5337]],\n",
      "\n",
      "        [[ 11.4246, -28.2580, -78.0246,  ..., -83.5103, -95.5587, -90.3778]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[ 12.7374, -18.7823, -46.1939,  ..., -52.4154, -50.8090, -47.0940]],\n",
      "\n",
      "        [[ 16.9348,  -8.5877, -37.9542,  ..., -53.3455, -44.6777, -42.5798]],\n",
      "\n",
      "        [[ -2.5693, -32.9439, -53.8327,  ..., -77.6186, -64.6825, -56.0777]]],\n",
      "       grad_fn=<ViewBackward>)\n",
      "证件发放\n",
      "证件发放\n",
      "0.10216593742370605\n"
     ]
    },
    {
     "data": {
      "image/png": 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=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=114x15 at 0x7FDA2C033A90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -74.1755,  -80.3201, -113.9766,  ..., -139.8086, -110.6035,\n",
      "          -117.3375]],\n",
      "\n",
      "        [[  22.1757,  -11.3226,  -47.5805,  ...,  -55.5140,  -76.4071,\n",
      "           -84.2736]],\n",
      "\n",
      "        [[  -1.2097,  -39.3849,  -70.5120,  ...,  -93.4524,  -91.0730,\n",
      "          -106.3598]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   6.0025,  -28.8860,  -76.7431,  ...,  -51.5335,  -80.0856,\n",
      "           -43.5023]],\n",
      "\n",
      "        [[  18.5638,  -27.1030,  -50.6801,  ...,  -27.0887,  -61.7655,\n",
      "           -25.6424]],\n",
      "\n",
      "        [[ -15.1031,  -26.4151,  -41.8704,  ...,  -11.0556,  -44.9976,\n",
      "           -17.1459]]], grad_fn=<ViewBackward>)\n",
      "-20XX年XX月XX日\n",
      "20XX年XX月XX日\n",
      "0.14482784271240234\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGcAAAATCAIAAAACkIR5AAAMy0lEQVR4nO1YfXBV5Zn/nY/7lZtcEsUARkNADFR0jW5n3RkroqIsu+NYu6ttd2b/oIowK1t32e0gtTt2S0EEM1s7ChQUGLUWxC9KrJbd2aAgRfkQSVIkCclNIAn5uLk399xzznver2f/ODeBxEp1pv/szD5z5s59z/ue9/m9v/M+v+d5j0FE+H/7imb/kf7PUaoNmIAe7TahARMwMHrT1AAgTQK0DSscpgETxp8M9ZdCbIQtfZFbkzCK4sKwIuyJk1wKrfm5OxS4hXBOxTgIgkkAnhdoYOzKOXkNcgOXgwECgRQek9AKUB6g4SMQkNJnIGgIDQECpAbguG4IVOsi+VrKCa/nYl8Fz9OA1DqXz1983w+KkDzGFJEGAt8j4QNKBz5Avsc0oAlKFy+pAQKkgBIgAVJCKTU6YRAEAPWc7QbCcXSB3PGtz7EmZSyZBBAUXCsaBWAYZsBUSSJ24pNmAEHAh3MjqbKUU3ASsXgUlpIMETsSj5sgAFYUnqejMPNexk7EAZggG5p7HixTKJ0I5xeCeR6AQjZnWva4138RcUKIkpISxphpmqlUCsDAwACAbDYbi8UYYy0tLfF43PO8kydPcs6NiA2SZiwCIJGIa4AI+YLQwKlTZ06dbiMCbBuWCQMwyLKswUxOCBlIEYvFAFRdXeU5+VH/AGgcMPpDrAVCAJCCwyp22bYZiVjDw/mGhoYgkM7ISG54+OAHH+zds2flD/715Ze3SylhIDOcs4Egnz/2+87/OvDB2p882fTRxxwkDWSHBwFE43EAoYyGu2zr1q0ASktL8cXaapqm1joej/f39wNobW2tqKhQSlVUVAwNDY2MjOzevZsxlkwmfd/ftWsXyzvg/EIcErJZN1UaYZ6sqampr69vbGwEACkgOGDkcrnLLy/3PK+hocF1XRYwkC4pK/siPKEZE7KB0tIyLcmFHY1Co+D6pckEgGefff78+fNPrVv9y507p1919f4D73//nx5NlSUBGTDPil/W09376rZN8ZLUogce2rTl+ccf/e6UaZefbDvfPzSYSX/299/9DsyUy1giEc+7hVSy1Pf9H//oRxvq60EgIYxIBLggJmMv2iwGDmKx2BNPPPHkk09Go9FMJpNMJuPx+KpVqxYsWOA4TldX1/DwcPWV07KDfZx59yz8m7/4xjzXZYlkycEPjw5ns7W1tc3Nn7afbj13tjNi0vSrp+169Vcv7/zVzOtuTJ/trbn6SgCPPfroT9esriifBK1gWqP+ARqvcQZAE01LUkSkiHyP+x4nRd3p3i2btxXy7OGHljadbC6MOG+88capluZt2zafOH4gYMOCyPU4Bd6e19/46ETnm+99kD7Tcvh3vz3SdPKtfe99+smHRD5pUkSKaMRzFdHptrZ333mHMyY8nzQVr1FTRIJIEHEpw6dWrlrVdfbsYCYTNhXRcC635YUXHlm2rPvcuf/Zv/+FbduOHz3y8cFGWciwkWEiTZoCrtet//n+A0eOf3r62IkWpUIvuuHNXelTTbmhPiYVI8p7viDKZrMPPfw9IikDl0gSySKsMXijICdGqL7oVxFF4xEiHD9+vLu7WwixdctmztiSJUsSsVhLS0tHW/uNN90cjZXYBMswvIC1d3b0nT3b+Nt9Oc9Nnzt74/U39HSmy1IpkMwNDZkEACWJEiFEV1dXV1eXbdt2PH6JWLAsq6+vr6OjI5/PX3XVVWVlZRgN8/Xr1999992LFy9+9913t2/f/sADD9R+bc5HR45YybJQmgFks1nLNurq6tKdnW1tbd9/7F/uv++bd9x226xrZ1959VWTLr8CgNZIJOIAysvL6+rqXtzyCysau3SEjmNNF5OHoYFAilgiqoHPWs9EIpGVK1du3rgRgJby31asONPaduf8+VVVVR7zhgbPgxCL2joWrbpm5n333PZntbNLLqtITZ1SyGR4Lj9j5rUw7PLJk4XPQj1wXbe7uzuTyYTSzj3vEhAnTZq0b9++uro6AJFIxHVdwzA6OjpWr15dXV1dW1t74MCBNWvWvP3225zz5f+8InAcWBaAkWxuyhWXrXhseTJp33TjDfNvm/fzn/3nwoULd+zYMfv66yPRqAyYZZlSKgC5kRznfPbs2e3t7Vrwr8DaKHekSRuGAWBgINPR0fG1uXM7z5yprq5e9vDSnp4ez/OSyaRWynXdIAgmXzEVQOAy2FbDb37z4qaXTx47Hi8rnTln9kcfHppRXa2BwUIWQCQRtwAueHl5eW9v7/Lly48ePerl89GSkktALCkp4ZzX1tZqrTnnyWRSSlldXW2aJmNsw4YN27Ztq6qqWrRo0c6dO/18PlY2CTALudykinKlNAgmUF19ZSweXbt2zZJHHp4+cxb3GCIxO1YCQCkFoHxSeTQanTZtWjqdNiPRS7M2scpVWpmmZRiGaZkgVFZefuutt/b39xuGMWvWrBnTq6XihmEMDAxYllVRURGSqwpuLF4CU997770PLrzvlZciPT09CrxQKHz95pt94VeUVkif2fE458K0zVdeeWX+/PnRaNS2bdd1S0pLYRjQGpYJw0AYg4YBgHMejUZramqamprmzZsXMhWWGrZtr1u3rra2dv369TU1NUEQ3HnHXT984t8X3HXXXy1aVFpeDoJlmc3NLZ999hlgNjV9mu7ouP/++++Yd3vL75tnXXPNX99773V1N4UJveAWypOlPT09lZWVl6YMGJ8NFFGgpSAtiAKthCahyfPk+d6hdMe5l7f/0s0WThw59snHR5/+6RoiveR7/0Dk+95QqM/p3q7VT69b+diPv/GXC06eaer3en/4+ONvvbabiGWdPlJaMR5mg6eefrrgeaHTtf/xE9JEShMXknMp5SgS5TBfEUmtB4aGHlm2bCwPBEKc7enZ8dJLp9vaDn/8cbq7u/H99/0gWLx4sQrY3rfefPv13Znz/UTk5PJtre1SKNLke+zFLS90p9OkNJEWvkdEgdKMqMACQURES5c90vjf742mgi/MBhNzqCSlSIfIhCSliRQFvlq65NGmT0+RIr/gbXpu4+5duw4dPKC4m8/1EDHBZf0zP9v8/LP5XM7xaNPWV3POwKYtG1zBt+7Ynh/pkzwbunR9tq7+md7z59WoxyOHfveL554npUNASqkgCKTWgoiTDmlyff/Q4cOvvf56mFI9xqTWmWxWEf3j8uVnOjvXrlt3uq2tsbGRiJQQ44sCPfZn88aNI9ksEQW+H/riRL4mQdSW7mxqalr71BqS7I+yNlHXDCKEB0vDMKgoe9GouXHjc9u3b6ewpmfs7x58cPLkyU+tfzqRSAAoBGzJ0qVLH15SlppkRFBeecWh/e9fO2Omadvf+s63v/3gg6daWtyREW1g7969c+fOnTJlCuc8LG7r6uo6OztPNTcHrgvANE0pZVijGTCEEEqpeDx+yy23RCKRgwcPhmMMwygvLwewYMGCmpqahQsXDg4OTp8xA4Bp2wCUECIIAASMBb6/d8+eY0ePWpblOI4IAsuyAAwODAGhEoCI9u3bt+rxVcX2Je0PV7nFclOCRs/cWsM0sefXDa1nWn+wYoXjuaXJBA/c+g1rVz6+iuyUSTANBYm8sp59btPf3vP1626YHSClgYQukJKGXb6noSGVSt12+7ywdk3EYgCIi/b29vr6+ttvv/3OuxdMmTYNgAYkac/zUsnSEJjjOGVlZc3NzXPmzLFtG8Dhw4cPHTqUTqcBTJ06NZvN1tTUVFVOraysvPnPbyopLT4IKWDbAN587bVfN7zzzDPPTK6sBODmC8myUmEgk81Prkidbj0955pZQvJ4LMp9L5oIE9SXq3K1FBfKTUUkiQQpQaRIKVKjlaoiGsgMEolc7hwRI01KUuDlSWsmKO8RVwUilxMNZIeJGJHvjeSV1IpoIDscqhURiSCYsPmDICgUCoEQYZUrtZZajwVmWNyGAhLCGCuDc/m8ogvzDA0MuI4TrsnJDvtOngQfJ+JcCi45ESNyfObLMK41af6VdY20Iq2K3apIXMia4wRKkyBiUgkilzNOnMgncomrwGGCJCeSBSJBHvkeOUMDA6SJyZHwbBAeDwSRUEpqTUoRUfFswAVxMaZBYTYITxE9fX0X8zLG1MDQUHiTcT42IJcdcfKF0bUQccE9N1yuZD4p3X+uZ6zX9VnImiAayA4zxoj0RQeDL88aadKKpCp6DeFocgtMacrmCnx05Z4IBElf5Yl8UkRSc9JOwCgIWRODQSZMjpy8QaefNOlA8NEVhpbP5Yr6rS8ot9Y6CPVs1L8fBGFzaLi4T8Pm2I4Lx1y81wLfL6YFKUjJwC0QaeH5ROQ6DimVH3EUkS8kJ3J8psaWX9xu409541sTdW2i/d/7KvnVbHQhX+2r5P8C0J1aoxCAgGgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=103x19 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -70.2252,  -77.8709, -113.8068,  ..., -136.4854, -109.8805,\n",
      "          -115.4973]],\n",
      "\n",
      "        [[  24.5325,   -4.6084,  -43.1445,  ...,  -52.7523,  -77.0888,\n",
      "           -77.5939]],\n",
      "\n",
      "        [[  -5.9178,  -39.5601,  -63.6975,  ...,  -85.9871,  -79.1011,\n",
      "           -95.8045]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[  40.6868,    9.8557,   -7.2076,  ...,  -26.0840,  -27.8353,\n",
      "           -21.0238]],\n",
      "\n",
      "        [[  34.5918,    9.6820,  -16.0509,  ...,  -35.7756,  -33.2784,\n",
      "           -23.8453]],\n",
      "\n",
      "        [[  18.9983,  -10.5094,  -33.6063,  ...,  -52.4684,  -49.6010,\n",
      "           -39.0123]]], grad_fn=<ViewBackward>)\n",
      "-领取人-签字-\n",
      "领取人-签字-\n",
      "0.1246495246887207\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=42x14 at 0x7FDA2C033A58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -73.4875,  -79.6939, -107.6508,  ..., -142.0589, -114.8632,\n",
      "          -118.3809]],\n",
      "\n",
      "        [[  20.4671,   -5.8997,  -30.5054,  ...,  -46.4590,  -70.6818,\n",
      "           -76.4734]],\n",
      "\n",
      "        [[   3.5435,  -33.1404,  -48.2938,  ...,  -71.9338,  -67.5346,\n",
      "           -83.7682]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   7.1695,  -11.7429,  -40.6605,  ...,  -70.2248,  -57.4332,\n",
      "           -58.4177]],\n",
      "\n",
      "        [[  27.7947,    7.3518,  -25.7073,  ...,  -49.2019,  -30.2158,\n",
      "           -26.2862]],\n",
      "\n",
      "        [[   8.1935,  -17.1896,  -45.5119,  ...,  -66.9537,  -54.2763,\n",
      "           -41.4523]]], grad_fn=<ViewBackward>)\n",
      "-张XX\n",
      "张XX\n",
      "0.09119963645935059\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAACkAAAAOCAIAAAA9q6IvAAAEeElEQVR4nH2US2xUVRzGv3PuY+7M7UynMHQ6fRhbalNNXVFoE0UXbIxgbbRGt0oICoQYCIkkrgQSAy7cuXFnogliIg+Nj7SWUmoDCmJrMI0hUKW00zLTuXdm7uuc83cxBRPt+K1OzuaX75E/IyL8VwQogLDKUPFkWyyCwRBoytAdDg6KU1l6gWVmFCA1MBXo3Cze+2vZr2TbsjxUitlVZdk2LFowdcNHQoNtKECpSOcRCZM4Xwdck6LCckEC12/ccF0XYeAWiz9fvX5xfOKtfXvHx8asRBJAqKAYBKn3jh5tyrXmFxenpqaSyUZT120LZUfm83lAadAIBACMA6gZ1tcHM0Bj6eyGPCFU8uDBg7tfG1kpBFu2PxuUtMGBgcHBQQCegORwK+WkyXO5HHw/CIKvzp3v733y6Lsnbi+JzEb7nbd3tbdmNbBQSkAHAwMYEVg9NgCiQsWXyXimuXnfgf1bB/pREog3ZDrbbvxy9d7du2ghy26RDN9+/8PZ058uXJvdtCE9c/uPnp6eTbnW3sd6Pvzo8MSln6rleQAcgFTQUHszxur7BiKQkYhXgeZci1OYB2NI2ODQgcDzuru7OY+VquQxtnPnC08Nbvnm409aW1qYbT3S/SiUzOfzZ86MFgsL2/qsGpo9GBYj0hgH1WErgGlcCAoE++3mTXNpaXZiorjsTV//teWJnsZkMooi3yubqVbJEACZjc2e523bsePi+KjruiDa3Nm56/kdl6cu63q+xl4bNUFIwQ0dRHV9O25ZSzb4FWSz2amx88+8OtK3ZfP2F4fKQfD52dOB5zemM55CuSo1WytWSqOjo6paSXXkevt6oWmO41gWUqmUqRf/VSWUqiVfl51MNhQjZdu8sCjb29sbu7ogTACGYVSrVcuyACgFXdcUkLbTQ0ND+w/sn752Zfb32eLiZ5OTk0Zjl1tefu7pHEAAdF1/QCeGteLXFwNIymoZvu8bhrH26wvN4CsrK0vLeQCcwzJx8tT7wy8PzczMnDpxXAixdWAgm80ODw/v3j3S399vxEyAARBC1Mhc12u1rs/mgAijuGE0xLGxqSmKIkiJSMDSg0gKpTo6OsOgKiNw4MDeN8998WU2mz1y7Njc3Jzrurdu3Xp9zxvFEmmatob8xxN7GEDdzC3DYIABLC8uXbhw4d7czfxSuam1o62v161UAGHGEjIAKWRS6Q9OHj9y6BCAl14ZuXzlRz8My05ldTXkuh5EERAA0GrhcaYAQVIHB9VR5FTCkOY9+tOn6UvjJCrR/RJJWhXq68lxIo/IjwRVBe05fGjVcyiKyK8SRWOXvssv3KlWglJAXY8Pzs6MES1K8iMiEkSSIqKKCCIp2f/dc+A+wDgsp5BotKFiABwOBhVXZZ3HVleU3RQXnGJMceKAAiMnLKdMW5Exv0SZTYyFd+x4QiBFiBkSECKK6QqkKap/zyMBXzIFDiQsCwCEVIACAhnp3ISK0um4W/QNxsLAl44DBgUkzATAvEA0bmDFkrDjaQACojZgoeRDwt/1U3u1gd/5fgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=41x14 at 0x7FDA2C033898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[[ -77.8078,  -85.5856, -118.6600,  ..., -134.2041, -109.5466,\n",
      "          -119.2269]],\n",
      "\n",
      "        [[  27.6292,   -5.5037,  -44.5437,  ...,  -52.6968,  -72.8560,\n",
      "           -79.8705]],\n",
      "\n",
      "        [[  -1.1975,  -35.9487,  -61.9849,  ...,  -80.7127,  -76.8950,\n",
      "           -88.1830]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[   0.3230,  -20.5405,  -54.3984,  ...,  -85.6522,  -69.1386,\n",
      "           -64.3620]],\n",
      "\n",
      "        [[  33.2992,    5.0453,  -12.2915,  ...,  -40.9205,  -22.3954,\n",
      "           -22.5913]],\n",
      "\n",
      "        [[ -36.7773,  -62.6562,  -79.1423,  ..., -103.6492,  -90.5855,\n",
      "           -88.7842]]], grad_fn=<ViewBackward>)\n",
      "-日期\n",
      "日期\n",
      "0.2047743797302246\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from pytesseract import image_to_string\n",
    "import os\n",
    "from ocr.ocr import CrnnOcr\n",
    "\n",
    "crnn = CrnnOcr('ocr/model/model_acc97.pth')\n",
    "\n",
    "xDim, yDim = img.shape[1], img.shape[0]\n",
    "for index, rec in enumerate(text_recs):\n",
    "    start = time.time()\n",
    "    pt1 = [max(1, rec[0]), max(1, rec[1])]\n",
    "    pt3 = [min(rec[6], xDim - 2), min(yDim - 2, rec[7])]\n",
    "    partImg = img[pt1[1]:pt3[1], pt1[0]:pt3[0]]\n",
    "    display(Image.fromarray(partImg))\n",
    "    image = Image.fromarray(partImg).convert('L')\n",
    "    print(crnn.predict(image))\n",
    "    print(time.time()-start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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